* installing *source* package 'sparseSEM' ... ** using staged installation ** libs using C compiler: 'gcc.exe (GCC) 12.2.0' gcc -I"D:/RCompile/recent/R/include" -DNDEBUG -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -pedantic -Wstrict-prototypes -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c lassoSEM.c -o lassoSEM.o gcc -I"D:/RCompile/recent/R/include" -DNDEBUG -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -pedantic -Wstrict-prototypes -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c lassoSMLv10beta.c -o lassoSMLv10beta.o lassoSMLv10beta.c: In function 'mainSML_adaENpointLambda': lassoSMLv10beta.c:3259:16: warning: unused variable 'minEN' [-Wunused-variable] 3259 | double minEN = ErrorEN[0]; | ^~~~~ lassoSMLv10beta.c: In function 'cv_gene_nets_support_Rdg': lassoSMLv10beta.c:372:34: warning: 'lambda_factor' may be used uninitialized [-Wmaybe-uninitialized] 372 | lambda = Weighted_LassoSf_MLf(W, BL, fL, Ylearn,Xlearn, Q, lambda_factor, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 373 | lambda_factor_prev, sigma2learnt, maxiter,M, Nlearn, verbose, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 374 | BC, fC, mueL,IBinv,IBinvZero,lambda_max_cv); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lassoSMLv10beta.c:88:23: note: 'lambda_factor' was declared here 88 | double lambda,lambda_factor,lambda_factor_prev; | ^~~~~~~~~~~~~ lassoSMLv10beta.c:248:23: warning: 'sigma2R' may be used uninitialized [-Wmaybe-uninitialized] 248 | if(verbose>4) Rprintf("\t\t\t\t\tExit RidgeCV. sigma2R: %f\t",sigma2R); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lassoSMLv10beta.c:112:16: note: 'sigma2R' was declared here 112 | double sigma2R,i_rho_factor; | ^~~~~~~ lassoSMLv10beta.c: In function 'cv_gene_nets_support_adaEN': lassoSMLv10beta.c:2024:34: warning: 'lambda_factor' may be used uninitialized [-Wmaybe-uninitialized] 2024 | lambda = Weighted_LassoSf_MLf_adaEN(W, BL, fL, Ylearn,Xlearn, Q, lambda_factor, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025 | lambda_factor_prev, sigma2learnt, maxiter,M, Nlearn, verbose, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2026 | BC, fC, mueL,IBinv,IBinvZero,lambda_max_cv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2027 | alpha_factor); //------adaEN | ~~~~~~~~~~~~~ lassoSMLv10beta.c:1748:23: note: 'lambda_factor' was declared here 1748 | double lambda,lambda_factor,lambda_factor_prev; | ^~~~~~~~~~~~~ lassoSMLv10beta.c:1907:23: warning: 'sigma2R' may be used uninitialized [-Wmaybe-uninitialized] 1907 | if(verbose>4) Rprintf("\t\t\t\t\tExit RidgeCV. sigma2R: %f\t",sigma2R); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lassoSMLv10beta.c:1771:16: note: 'sigma2R' was declared here 1771 | double sigma2R,i_rho_factor; | ^~~~~~~ lassoSMLv10beta.c: In function 'mainSML_adaEN': lassoSMLv10beta.c:2358:23: warning: 'lambda_factor' may be used uninitialized [-Wmaybe-uninitialized] 2358 | out_lambda[0] = lambda_factor; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ lassoSMLv10beta.c:2333:16: note: 'lambda_factor' was declared here 2333 | double lambda_factor; | ^~~~~~~~~~~~~ lassoSMLv10beta.c: In function 'cv_gene_nets_support_adaENcv': lassoSMLv10beta.c:2749:34: warning: 'lambda_factor' may be used uninitialized [-Wmaybe-uninitialized] 2749 | lambda = Weighted_LassoSf_MLf_adaEN(W, BL, fL, Ylearn,Xlearn, Q, lambda_factor, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2750 | lambda_factor_prev, sigma2learnt, maxiter,M, Nlearn, verbose, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2751 | BC, fC, mueL,IBinv,IBinvZero,lambda_max_cv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2752 | alpha_factor); //------adaEN | ~~~~~~~~~~~~~ lassoSMLv10beta.c:2471:23: note: 'lambda_factor' was declared here 2471 | double lambda,lambda_factor,lambda_factor_prev; | ^~~~~~~~~~~~~ lassoSMLv10beta.c:2629:23: warning: 'sigma2R' may be used uninitialized [-Wmaybe-uninitialized] 2629 | if(verbose>4) Rprintf("\t\t\t\t\tExit RidgeCV. sigma2R: %f\t",sigma2R); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lassoSMLv10beta.c:2492:16: note: 'sigma2R' was declared here 2492 | double sigma2R,i_rho_factor; | ^~~~~~~ lassoSMLv10beta.c: In function 'mainSML_adaENcv': lassoSMLv10beta.c:3107:23: warning: 'lambda_factor' may be used uninitialized [-Wmaybe-uninitialized] 3107 | out_lambda[0] = lambda_factor; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ lassoSMLv10beta.c:3085:16: note: 'lambda_factor' was declared here 3085 | double lambda_factor; | ^~~~~~~~~~~~~ gcc -I"D:/RCompile/recent/R/include" -DNDEBUG -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -pedantic -Wstrict-prototypes -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c registerDynamicSymbol.c -o registerDynamicSymbol.o gcc -shared -s -static-libgcc -o sparseSEM.dll tmp.def lassoSEM.o lassoSMLv10beta.o registerDynamicSymbol.o -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -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-sparseSEM/00new/sparseSEM/libs/x64 ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparseSEM)