Installation of GOfuncR fails with an error:

clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG  -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/Rcpp/include' -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c genes.cc -o genes.o
genes.cc:100:9: error: use of undeclared identifier 'random_shuffle'
        random_shuffle( gene_vec.begin(), gene_vec.end(), rng ) ;
        ^
1 error generated.
make: *** [genes.o] Error 1

There are no Mac Intel binaries available on Bioconductor, and Bioconductor's build results web page show error on Mac OS Monterey. Any ideas how to circumvent these issues?

My session info:

> sessionInfo()
R version 4.3.1 (2023-06-16)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.5.1

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: Europe/London
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
[1] BiocManager_1.30.22 compiler_4.3.1      tools_4.3.1

I think this is because the random_shuffle() function was deprecated in C++17, which is now the default for R. I'm not really sure why it still compiles on the other platforms, so this is only a hunch, but that seems likely to me. There's some more details at https://en.cppreference.com/w/cpp/algorithm/random_shuffle

I'd suggest opening an issue at https://github.com/sgrote/GOfuncR/issues to let the package author know. I think they should be able to specify using an older C++ standard for their package, which might restore the original functionality, but probably it'd be better to update to a non-deprecated function.

There's some details in https://cran.r-project.org/doc/manuals/R-exts.html#Using-C_002b_002b-code If you're feeling adventurous you could always get the source version of the package, trying making the required changes, and then installing your new copy.