(I am adding the mailing list back in Cc: because package licensing is a complicated topic.)
В Tue, 9 Jul 2024 09:25:14 +0000 Matei Teleman <matei.tele...@unil.ch> пишет: > I’ve added “ … SuperCell uses > [velocyto.R](https://github.com/velocyto-team/velocyto.R) for RNA > velocity. ” in the Description field. Is that enough or I need also > to directly give the command line to install the package from GitHub ? It looks like a link should be fine. Here are a few examples of CRAN packages that have a non-CRAN/Bioconductor package in Suggests: without setting up Additional_repositories: https://CRAN.R-project.org/package=babelmixr2 https://CRAN.R-project.org/package=bandsfdp https://cran.r-project.org/package=GCD I'm sorry that I didn't note any of the following in my initial reply, but what worries me about CC BY-NC-ND specifically is that out of 117 CRAN packages with a Creative Commons license and 18 of those that use the non-FOSS "NonCommercial" clause, none use the "NoDerivatives" clause. Your users would probably appreciate being able to install binary builds of your package from CRAN. Does `R CMD INSTALL --build` count as creating a derivative work, or is it "merely changing the format"? Then again, CC BY-NC-ND _is_ mentioned in the list of CRAN licenses, so it could work. I found a rejected copy of your package in the archive subdirectory on the CRAN FTP server and a GitHub repository [*] that seems to be slightly outdated compared to the archived package. (It's best to link to up-to-date package sources when seeking help with code.) I'm getting an additional NOTE: >> Imports includes 21 non-default packages. >> Importing from so many packages makes the package vulnerable to any >> of them becoming unavailable. Move as many as possible to Suggests >> and use conditionally. Is there a way to make some of the currently required dependencies into conditional dependencies? R CMD check --as-cran sets the limit to 20, so moving just one package from Imports to Suggests will silence this particular NOTE. I see that most of your package size comes from the data subdirectory. CRAN policy says: "Packages should be of the minimum necessary size. <...> Neither data nor documentation should exceed 5MB. <...> Where a large amount of data is required (even after compression), consideration should be given to a separate data-only package which can be updated only rarely (since older versions of packages are archived in perpetuity)." Is there a way to reduce the size of the data? It's ideal if there's only enough data to demonstrate how an algorithm works in the \examples{} section of your documentation and to exercise as much of your code as feasible in your tests. Finally, were there any recommendations in the rejection e-mail from CRAN? Sometimes NOTEs are unavoidable, but we should strive to minimise them anyway. -- Best regards, Ivan [*] https://github.com/GfellerLab/SuperCell ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel
