recipe r-gkmsvm

Imports the 'gkmSVM' v2.0 functionalities into R <http://www.beerlab.org/gkmsvm/> It also uses the 'kernlab' library (separate R package by different authors) for various SVM algorithms.

Homepage:

https://CRAN.R-project.org/package=gkmSVM

License:

GPL2 / GPL-2.0-or-later

Recipe:

/r-gkmsvm/meta.yaml

package r-gkmsvm

Versions:

0.82.0-0,  0.81.0-4,  0.81.0-3,  0.81.0-2,  0.81.0-1,  0.81.0-0,  0.80.0-1,  0.80.0-0,  0.79.0-1, 

0.82.0-0,  0.81.0-4,  0.81.0-3,  0.81.0-2,  0.81.0-1,  0.81.0-0,  0.80.0-1,  0.80.0-0,  0.79.0-1,  0.79.0-0,  0.71.0-0

Depends:

• bioconductor-biocgenerics

• bioconductor-biostrings

• bioconductor-genomeinfodb

• bioconductor-genomicranges

• bioconductor-iranges

• bioconductor-rtracklayer

• bioconductor-s4vectors

• libgcc-ng >=12

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-kernlab

• r-rcpp

• r-rocr

• r-seqinr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install r-gkmsvm

and update with:

conda update r-gkmsvm

or use the docker container:

docker pull quay.io/biocontainers/r-gkmsvm:<tag>

(see r-gkmsvm/tags for valid values for <tag>)

Download stats

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/r-gkmsvm/README.html)