Hi all, I am revisiting this and wondering if it would be a case in which I should submit as-is, and include justification for ignoring the NOTE about excessive directory size.
Best, Paul Hibbing On Mon, Feb 18, 2019 at 3:20 PM Paul Hibbing <paulhibb...@gmail.com> wrote: > Hi all, > > I am preparing a package that makes use of several neural networks, > which are quite large. They aren't > intended for public use, so they're currently stored in sysdata.R, but > they make the R directory too heavy > (close to 5MB). > > What is best practice in this case? I'm aware the general > recommendation is to set up a separate data > package that updates infrequently, but that seems undesirable since > these objects weren't going to be > exported in the first place. > > Thanks for your help. > -Paul Hibbing > [[alternative HTML version deleted]] ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel