recipe bioconductor-inpower

An R package for computing the number of susceptibility SNPs

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/INPower.html

License:

GPL-2 + file LICENSE

Recipe:

/bioconductor-inpower/meta.yaml

Links:

biotools: inpower, doi: 10.1038/nmeth.3252

An R package for computing the number of susceptibility SNPs and power of future studies

package bioconductor-inpower

(downloads) docker_bioconductor-inpower

versions:
1.38.0-01.36.0-01.34.0-01.30.0-01.28.0-01.26.0-11.26.0-01.24.0-01.22.0-0

1.38.0-01.36.0-01.34.0-01.30.0-01.28.0-01.26.0-11.26.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.0-01.14.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-mvtnorm:

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 bioconductor-inpower

and update with::

   mamba update bioconductor-inpower

To create a new environment, run:

mamba create --name myenvname bioconductor-inpower

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/bioconductor-inpower:<tag>

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

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