Dear all,
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.
Jairo
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