* installing *source* package 'penaltyLearning' ...
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 12.3.0'
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG     -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c interface.cpp -o interface.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG     -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c largestContinuousMinimum.cpp -o largestContinuousMinimum.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG     -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c modelSelection.cpp -o modelSelection.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG     -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c modelSelectionFwd.cpp -o modelSelectionFwd.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG     -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c modelSelectionQuadratic.cpp -o modelSelectionQuadratic.o
g++ -std=gnu++17 -shared -s -static-libgcc -o penaltyLearning.dll tmp.def interface.o largestContinuousMinimum.o modelSelection.o modelSelectionFwd.o modelSelectionQuadratic.o -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-penaltyLearning/00new/penaltyLearning/libs/x64
** R
** data
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (penaltyLearning)