recipe bioconductor-iterativebma

The Iterative Bayesian Model Averaging (BMA) algorithm

Homepage

https://bioconductor.org/packages/3.11/bioc/html/iterativeBMA.html

License

GPL (>= 2)

Recipe

/bioconductor-iterativebma/meta.yaml

Links

biotools: iterativebma, doi: 10.1186/gb-2008-9-7-r118

The iterative Bayesian Model Averaging (BMA) algorithm is a variable selection and classification algorithm with an application of classifying 2-class microarray samples, as described in Yeung, Bumgarner and Raftery (Bioinformatics 2005, 21: 2394-2402).

package bioconductor-iterativebma

Versions

1.46.0-0,  1.44.0-0,  1.42.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• r-base >=4.0,<4.1.0a0

• r-bma

• r-leaps

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-iterativebma

and update with:

conda update bioconductor-iterativebma

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-iterativebma:<tag>

(see bioconductor-iterativebma/tags for valid values for <tag>)

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/bioconductor-iterativebma/README.html)