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

(downloads) docker_kfoots

Versions

1.0-2, 1.0-1, 1.0-0

Depends libgcc-ng

>=7.3.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-rcpp

>=0.10.6

Requirements

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>)