recipe r-grain

Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems.

Homepage:

http://people.math.aau.dk/~sorenh/software/gR/

License:

GPL3 / GPL-2.0-or-later

Recipe:

/r-grain/meta.yaml

package r-grain

(downloads) docker_r-grain

versions:
1.4.1-0,  1.4.0-0,  1.3.14-0,  1.3.13-3,  1.3.13-2,  1.3.13-1,  1.3.13-0,  1.3.12-1,  1.3.12-0, 

1.4.1-0,  1.4.0-0,  1.3.14-0,  1.3.13-3,  1.3.13-2,  1.3.13-1,  1.3.13-0,  1.3.12-1,  1.3.12-0,  1.3.11-1,  1.3.11-0,  1.3.10-0,  1.3.9-0,  1.3_0-6,  1.3_0-5,  1.3_0-4,  1.3_0-3,  1.3_0-2,  1.3_0-1,  1.3_0-0

depends bioconductor-graph:

depends bioconductor-rgraphviz:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-broom:

depends r-grbase:

>=1.8.6.6

depends r-grbase:

>=2.0.0,<3.0a0

depends r-igraph:

depends r-magrittr:

depends r-rcpp:

>=0.11.1

depends r-rcpparmadillo:

depends r-rcppeigen:

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-grain

and update with::

   mamba update r-grain

To create a new environment, run:

mamba create --name myenvname r-grain

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-grain:<tag>

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

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