On 25 March 2024 at 11:12, Jairo Hidalgo Migueles wrote: | I'm reaching out to seek some guidance regarding the storage of relatively | large data, ranging from 10-40 MB, intended for use within an R package. | Specifically, this data consists of regression and random forest models | crucial for making predictions within our R package. | | Initially, I attempted to save these models as internal data within the | package. While this approach maintains functionality, it has led to a | package size exceeding 20 MB. I'm concerned that this would complicate | submitting the package to CRAN in the future. | | I would greatly appreciate any suggestions or insights you may have on | alternative methods or best practices for efficiently storing and accessing | this data within our R package.
Brooke and I wrote a paper on one way of addressing it via a 'data' package accessibly via an Additional_repositories: entry supported by a drat repo. See https://journal.r-project.org/archive/2017/RJ-2017-026/index.html for the paper which contains a nice slow walkthrough of all the details. Dirk -- dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel
