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

Versions:

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, 

1.3.13-1,  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

• bioconductor-rgraphviz

• libgcc-ng >=12

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-broom

• r-grbase >=1.8.6.6

• r-igraph

• r-magrittr

• r-rcpp >=0.11.1

• r-rcpparmadillo

• r-rcppeigen

Required By:

• bioconductor-rvs

• bioconductor-gmicr

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install r-grain

and update with:

conda update r-grain

or use the docker container:

docker pull quay.io/biocontainers/r-grain:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/r-grain/README.html)