recipe bioconductor-famagg

Pedigree Analysis and Familial Aggregation

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-famagg/meta.yaml

Framework providing basic pedigree analysis and plotting utilities as well as a variety of methods to evaluate familial aggregation of traits in large pedigrees.

package bioconductor-famagg

(downloads) docker_bioconductor-famagg

versions:
1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-0

1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-01.12.0-11.10.4-01.10.0-0

depends bioconductor-biocgenerics:

>=0.52.0,<0.53.0

depends r-base:

>=4.4,<4.5.0a0

depends r-gap:

>=1.1-17

depends r-igraph:

depends r-kinship2:

depends r-matrix:

depends r-survey:

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-famagg

and update with::

   mamba update bioconductor-famagg

To create a new environment, run:

mamba create --name myenvname bioconductor-famagg

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-famagg:<tag>

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

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