recipe kfoots

The package provides methods for fitting multivariate count data with a mixture model or a hidden markov model. Each mixture component is a negative multivariate random variable and an EM algorithm is used to maximize the likelihood.

Homepage

http://github.com/lamortenera/kfoots

License

GPL-2

Recipe

/kfoots/meta.yaml

package kfoots

Versions

1.0-2,  1.0-1,  1.0-0

Depends

• libgcc-ng >=7.3.0

• r-base >=3.5.1,<3.5.2.0a0

• r-rcpp >=0.10.6

Required By

• epicseg

Installation

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

conda install kfoots

and update with:

conda update kfoots

or use the docker container:

docker pull quay.io/biocontainers/kfoots:<tag>

(see kfoots/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/kfoots/README.html)