recipe bioconductor-cgen

An R package for analysis of case-control studies in genetic epidemiology



GPL-2 + file LICENSE



This is a package for analysis of case-control data in genetic epidemiology. It provides a set of statistical methods for evaluating gene-environment (or gene-genes) interactions under multiplicative and additive risk models, with or without assuming gene-environment (or gene-gene) independence in the underlying population.

package bioconductor-cgen

(downloads) docker_bioconductor-cgen



depends libblas:


depends libgcc-ng:


depends libgfortran-ng:

depends libgfortran5:


depends liblapack:


depends r-base:


depends r-mvtnorm:

depends r-survival:



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 bioconductor-cgen

and update with::

   mamba update bioconductor-cgen

To create a new environment, run:

mamba create --name myenvname bioconductor-cgen

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<tag>

(see `bioconductor-cgen/tags`_ for valid values for ``<tag>``)

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