RStudio provides pre-built R package for Linux and since a some weeks now, they can be used on GitHub Actions (https://github.com/r-lib/actions). In addition, the run-time limit on GitHub Actions is several hours compared to the 50 minutes you've' got on Travis, so even if you install from source, you're less likely to hit these limits on GitHub Actions.
Also, it could be that you could tweak/trick Travis to install above Linux binary packages. My $.02 /Henrik On Tue, Jun 2, 2020 at 2:45 PM Koen Van den Berge <koenvdbe...@berkeley.edu> wrote: > > Dear All, > > We have recently extended our Bioconductor package tradeSeq > <https://bioconductor.org/packages/devel/bioc/html/tradeSeq.html> to allow > different input formats and accommodate extended downstream analyses, by > building on other R/Bioconductor packages. > However this has resulted in a significant increase in the number of > dependencies due to relying on other packages that also have many > dependencies, for example causing very long build times on Travis > <https://travis-ci.com/github/statOmics/tradeSeq>. > > We are therefore wondering about current recommendations to reduce the > dependency load. We have moved some larger packages from ‘Imports’ to > ‘Suggests’, but to no avail. > > Best, > Koen > [[alternative HTML version deleted]] > > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
