recipe bioconductor-banocc

Bayesian ANalysis Of Compositional Covariance

Homepage:

https://bioconductor.org/packages/3.16/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

(downloads) docker_bioconductor-banocc

Versions:
1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0, 

1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  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:
Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

Render an install-with-bioconda 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)