recipe bioconductor-banocc

Bayesian ANalysis Of Compositional Covariance

Homepage

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

License

MIT + file LICENSE

Recipe

/bioconductor-banocc/meta.yaml

BAnOCC is a package designed for compositional data, where each sample sums to one. It infers the approximate covariance of the unconstrained data using a Bayesian model coded with `rstan`. It provides as output the `stanfit` object as well as posterior median and credible interval estimates for each correlation element.

package bioconductor-banocc

Versions

1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.1-0,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends

• r-base >=4.0,<4.1.0a0

• r-coda >=0.18.1

• r-mvtnorm

• r-rstan >=2.17.4

• r-stringr

Required By

Installation

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

conda install bioconductor-banocc

and update with:

conda update bioconductor-banocc

or use the docker container:

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

(see bioconductor-banocc/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-banocc/README.html)