recipe bioconductor-randpack

Randomization routines for Clinical Trials

Homepage:

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

License:

Artistic 2.0

Recipe:

/bioconductor-randpack/meta.yaml

Links:

biotools: randpack, doi: 10.1038/nmeth.3252

A suite of classes and functions for randomizing patients in clinical trials.

package bioconductor-randpack

versions:

1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0, 

1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:

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-randpack

and update with::

   mamba update bioconductor-randpack

To create a new environment, run:

mamba create --name myenvname bioconductor-randpack

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-randpack:<tag>

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

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