[Bioc-devel] EXTERNAL: R version dependence of a new package

Shepherd, Lori Lori.Shepherd at RoswellPark.org
Fri Oct 20 14:02:27 CEST 2017

We strongly recommend the version of R that is used on our builders when building and checking your package.  This is also to ensure that the package dependencies are also in a version that is compatible with a new package.  We can't guarantee that a package will work with a previous version of a dependency so the best practice is to use the current version of R as we check against the most recent and current versions of packages for the version of R and Bioconductor.  This is also why we have biocValid and biocLite to make sure packages are up-to-date and valid for a particular version of R and Bioconductor.  Package can change over time and cause compatibility issues that are unforseen; R also can change from version to version and cause unforseen problems.

Lori Shepherd

Bioconductor Core Team

Roswell Park Cancer Institute

Department of Biostatistics & Bioinformatics

Elm & Carlton Streets

Buffalo, New York 14263

From: Bioc-devel <bioc-devel-bounces at r-project.org> on behalf of Yaoyong Li <liyaoyong85 at gmail.com>
Sent: Friday, October 20, 2017 7:54:16 AM
To: bioc-devel at r-project.org
Subject: EXTERNAL: [Bioc-devel] R version dependence of a new package


may I ask a question about the R version dependence?

Currently I am trying to submit a package to Bioconductor repository. When
my package was built at bioconductor.org, I got a warning message

"* WARNING: Update R version dependency from 2.3.0 to 3.4."

So I changed the R dependency to 3.4 in my DESCRIPTION file, and
consequently the warning message disappeared. However, as one result of the
change, my package cannot be loaded and run in R whose version is earlier
than 3.4. On the other hand, my package actually doesn't need the R version
>= 3.4. For example, it works perfectly with R version 3.2.2 which was
installed in my computer. S my question is why the package builder at
bioconductor.org wanted my package to update the R version to 3.4.

Best regards,


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