recipe r-cp4p

Functions to check whether a vector of p-values respects the assumptions of FDR (false discovery rate) control procedures and to compute adjusted p-values.

Homepage:

https://CRAN.R-project.org/package=cp4p

License:

GPL3 / GPL-3

Recipe:

/r-cp4p/meta.yaml

package r-cp4p

(downloads) docker_r-cp4p

versions:

0.3.6-6,  0.3.6-5,  0.3.6-4,  0.3.6-3,  0.3.6-2,  0.3.6-1,  0.3.6-0,  0.3.5-1,  0.3.5-0

depends bioconductor-limma:

depends bioconductor-multtest:

depends bioconductor-qvalue:

depends r-base:

>=4.3,<4.4.0a0

depends r-mess:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install r-cp4p

and update with::

   mamba update r-cp4p

To create a new environment, run:

mamba create --name myenvname r-cp4p

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/r-cp4p:<tag>

(see `r-cp4p/tags`_ for valid values for ``<tag>``)

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Link to this page

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