Hey folks, I usually stare in awe at the C-backed packages that rely on eternal libraries which are super-easy to get working on macOS & *nix _but_ that also work perfectly on Windows. I fire up Windows (*maybe*) once a month to test some of my packages but I'm curious as to what I need to do to setup a more extended toolchain to create libraries such as are found in https://github.com/rwinlib.
Jeroen (I think others, too) seem to effortlessly package those up and I fully grok his "anticonf" setup and the 32-bit & 64-bit Windows library setup. I just can't seem to actually do the building. Why I'm asking what I'm asking (below) is that I'm working on something for the $DAYJOB now - https://github.com/hrbrmstr/wand - that requires libmagic and I kinda, unfortunately, actually need it to also work on Windows (it usually doesn't matter, but this time some folks who use Windows systems at work need to use this forthcoming package). Rather than b[eu]g Jeroen or others for library building/packaging, I'd be very, keenly interested in learning what else besides Rtools I need to install to be able to make similar binary bundles to include during installation (and to have my compiled pkgs work on Windows). My disdain for Windows and my frustration with the super-limited toolchain components installed with Rtools is probably contributing to my inability to solve this on my own (no bash.exe...rly?). I used to use cygwin back in the day but there are so many cautions in the main R docs abt compatible versions that I'd rather not spend hours or days figuring out something that others already have. One example here is that I actually managed to get one of the libmagic support packages (the regex library) built and installed on Windows (in the toolchain /usr/local) but can't get libmagic's `configure` script to find/use it. I'm more than willing to write up any copious pointers folks provide into a detailed, attributed blog post or R Journal article since this is seriously the only bit holding me back from working on and releasing a ton of other compilation-required packages to CRAN. I also know I'm not the only one who gets stalled when trying to get similar things (especially those with full Boost dependencies) to work on Windows. thx, -Bob [[alternative HTML version deleted]] ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel
