[R-pkg-devel] How to declare Bioconductor Dependencies in the Description File of my R Package
Ruff, Sergej
Sergej@Ru|| @end|ng |rom t|ho-h@nnover@de
Fri Mar 17 11:19:37 CET 2023
In my example I have the following lines:
### Differential expression analysis with limma
group = gl(2, n)
design = model.matrix(~ group)
fit1 = limma::lmFit(X, design)
fit = limma::eBayes(fit1)
The R CMD Check returns no Errors or Notes if Limma is pre-installed. If limma is not pre-installed I get an error, reminding me that Limma is not available.
Thats the source of my worries. Will the same error appear when CRAN checks the examples of my package? Or should I not be worried?
With regards,
Sergej
________________________________
Von: Duncan Murdoch <murdoch.duncan using gmail.com>
Gesendet: Freitag, 17. März 2023 11:14:25
An: Ruff, Sergej; Martin Morgan; Ivan Krylov
Cc: r-package-devel using r-project.org
Betreff: Re: [R-pkg-devel] How to declare Bioconductor Dependencies in the Description File of my R Package
On 17/03/2023 6:06 a.m., Ruff, Sergej wrote:
> I was wondering how CRAN will handle Limma when running the automatic check.
>
>
> I am worried that my package will be rejected if Limma won�t install from Bioconductor on a clean version of R. Leading to an Error and Note during the check.
>
>
> I am using Limma only for an example in my functions description, not inside my actual function.
>
>
> How would CRAN�s System handle that when checking my package for submission?
If you have it in the Suggests list you should have written your code to
work (i.e. not trigger an error) whether it is installed or not, so you
shouldn't worry about it.
Duncan Murdoch
>
>
> with regards,
>
>
> Sergej
>
> ________________________________
> Von: Martin Morgan <mtmorgan.bioc using gmail.com>
> Gesendet: Donnerstag, 16. M�rz 2023 20:12:51
> An: Ivan Krylov; Ruff, Sergej
> Cc: r-package-devel using r-project.org
> Betreff: Re: [R-pkg-devel] How to declare Bioconductor Dependencies in the Description File of my R Package
>
> I would not follow the instructions in RTIGER�s README for installing Bioconductor packages.
>
> BiocManager::install(�RTIGER�) would install both CRAN and Bioconductor dependencies of RTIGER, and would be my preferred instruction in a README or INSTALL file. A complete instruction might be to install your package as if it were on Bioconductor �
>
> If (!requireNamepace(�BiocManager�, quietly = TRUE))
> install.packages(�BiocManager�)
> BiocManager::install(�<your package>�)
>
> It does not make sense to me to have instructions in .onAttach / .onLoad or in each function for the user to install a �Suggests:� package, when actually the package is required for use and belongs in Imports: or perhaps Depends:.
>
> The instruction to use �version = �3.14�� of Bioconductor in the RTIGER document is not universally correct, since different Bioconductor versions are tied to specific R versions (see https://bioconductor.org/about/release-announcements/ ). On one version of R I am currently using, I get
>
>> BiocManager::install(version = "3.14")
> Error: Bioconductor version '3.14' requires R version '4.1'; use
> `BiocManager::install(version = '3.17')` with R version 4.3; see
> https://bioconductor.org/install
>
> The instruction to install a vector of Bioconductor packages is also unnecessary for Bioconductor packages in the Imports: or Depends: field of <your package>, or if one were to pass the argument `dependencies = TRUE` to either BiocManager::install() or install.packages() (to get the Suggests: packages of <your package> to be installed, as well as Depends:, Imports: and LinkingTo:).
>
> Briefly, installation requires R to know the correct repositories. The command
>
> BiocManager::repositories()
>
> Returns a vector of Bioconductor and CRAN repositories relevant to your version of R. If one is averse to using BiocManager::install(�RTIGER�), a reasonable alternative, though still requiring that the BiocManager package is installed, is
>
> install.packages(�RTIGER�, repos = BiocManager::repositories())
>
> Base R also provides a mechanism for specifying Bioconductor repositories, via `setRepositories()` called before install.packages(). However, this is not recommended because, as can be seen on the web page mentioned above, there are two versions of Bioconductor for each version of R � one always gets the �old� Bioconductor version, even when a newer version is available.
>
> From: R-package-devel <r-package-devel-bounces using r-project.org> on behalf of Ivan Krylov <krylov.r00t using gmail.com>
> Date: Thursday, March 16, 2023 at 2:15 PM
> To: Ruff, Sergej <Sergej.Ruff using tiho-hannover.de>
> Cc: r-package-devel using r-project.org <r-package-devel using r-project.org>
> Subject: Re: [R-pkg-devel] How to declare Bioconductor Dependencies in the Description File of my R Package
> On Thu, 16 Mar 2023 17:01:55 +0000
> "Ruff, Sergej" <Sergej.Ruff using tiho-hannover.de> wrote:
>
>> Last question: How does CRAN work with Bioconductor Dependencies?
>> Will CRAN accept limma as a dependency or will my submission be
>> rejected?
>
> It's not explicitly spelled out in the CRAN policy
> <https://cran.r-project.org/web/packages/policies.html>, but
> Bioconductor and CRAN are the "mainstream repositories" for the
> purposes of the following rule:
>
>>> Packages on which a CRAN package depends should be available from a
>>> mainstream repository
>
> (Even non-mainstream repositories are allowed for optional dependencies
> if you follow a few additional rules.)
>
> Here's an example of a CRAN package with a strong dependency on a
> Bioconductor package: <https://CRAN.R-project.org/package=RTIGER>. You
> can see the extra instructions for installing the Bioconductor
> dependencies in its README.
>
> --
> Best regards,
> Ivan
>
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