Hi, First, I am inviting all of you to try our recent package at https://github.com/ecrc/exageostatR. This package involves MLE estimation in large scale using leading-edge hardware architectures.
I have multiple questions: (1) My package requires a pre-installation of Intel MKL. Is there any way to include the MKL installation with the package. (2) The package depends on several c-based software which I automatically install through the package installation. Linking with these dependencies is a necessity. Thus, I did a simple trick for that as follows, - I am installing all the software dependencies inside the default installation directory of the r-package then I am adding this path to the (PKG_CONFIG_PATH env) using this statement, Sys.setenv(PKG_CONFIG_PATH=paste(Sys.getenv("PKG_CONFIG_PATH"),paste(.libPaths(),"exageostat/lib/pkgconfig",sep='/',collapse=':'),sep=':')) By this way, I will be sure that all libraries are accessible by the package. - Then, the installation can be done using install_git(url=" https://github.com/ecrc/exageostatR") for the GitHub repo. The problem that I need to avoid the manual setting of the (PKG_CONFIG_PATH) so that I can, for example, upload my package to CRAN and simplify the installation process. I am doing the dependencies installation using the package configure file which can be accessed through https://github.com/ecrc/exageostatR/blob/master/configure. (3) My package is only compatible with Linux and macOS. How to avoid CRAN windows checks. Thanks, --Sameh Abdulah [[alternative HTML version deleted]] ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel