Thanks Simon, I was very much hoping that would be the case! It may be that I just need to put the version requirement on 4.0 then. I will be sure to add this version restriction to my packages (which technically I should be doing anyway since this function didn't exist in early versions of `tools`.)
Cheers, Carl --- Carl Boettiger http://carlboettiger.info/ On Wed, Jun 28, 2023 at 12:59 PM Simon Urbanek <simon.urba...@r-project.org> wrote: > > Carl, > > I think your statement is false, the whole point of R_user_dir() is for > packages to have a well-defined location that is allowed - from CRAN policy: > > "For R version 4.0 or later (hence a version dependency is required or only > conditional use is possible), packages may store user-specific data, > configuration and cache files in their respective user directories obtained > from tools::R_user_dir(), provided that by default sizes are kept as small as > possible and the contents are actively managed (including removing outdated > material)." > > Cheers, > Simon > > > > On 28/06/2023, at 10:36 AM, Carl Boettiger <cboet...@gmail.com> wrote: > > > > tools::R_user_dir() provides configurable directories for R packages > > to write persistent information consistent with standard best > > practices relative to each supported operating systems for > > applications to store data, config, and cache information > > respectively. These standard best practices include writing to > > directories in the users home filespace, which is also specifically > > against CRAN policy. > > > > These defaults can be overridden by setting the environmental > > variables R_USER_DATA_DIR , R_USER_CONFIG_DIR, R_USER_CACHE_DIR, > > respectively. > > > > If R developers should be using the locations provided by > > tools::R_user_dir() in packages, why does CRAN's check procedure not > > set these three environmental variables to CRAN compliant location by > > default (e.g. tempdir())? > > > > In order to comply with CRAN policy, a package developer can obviously > > set these environmental variables themselves within the call for every > > example, every unit test, and every vignette. Is this the recommended > > approach or is there a better technique? > > > > Thanks for any clarification! > > > > Regards, > > > > Carl > > > > --- > > Carl Boettiger > > http://carlboettiger.info/ > > > > ______________________________________________ > > R-devel@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-devel > > > ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
