:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-gkmsvm' .. highlight: bash r-gkmsvm ======== .. conda:recipe:: r-gkmsvm :replaces_section_title: :noindex: Imports the \'gkmSVM\' v2.0 functionalities into R \ 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 `_ .. conda:package:: r-gkmsvm |downloads_r-gkmsvm| |docker_r-gkmsvm| :versions: .. raw:: html
0.83.0-00.82.0-30.82.0-20.82.0-10.82.0-00.81.0-40.81.0-30.81.0-20.81.0-1 ``0.83.0-0``,  ``0.82.0-3``,  ``0.82.0-2``,  ``0.82.0-1``,  ``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`` .. raw:: html
:depends bioconductor-biocgenerics: :depends bioconductor-biostrings: :depends bioconductor-genomeinfodb: :depends bioconductor-genomicranges: :depends bioconductor-iranges: :depends bioconductor-rtracklayer: :depends bioconductor-s4vectors: :depends libgcc-ng: ``>=12`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-kernlab: :depends r-rcpp: :depends r-rocr: :depends r-seqinr: :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install r-gkmsvm and update with:: mamba update r-gkmsvm To create a new environment, run:: mamba create --name myenvname r-gkmsvm with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/r-gkmsvm: (see `r-gkmsvm/tags`_ for valid values for ````) .. |downloads_r-gkmsvm| image:: https://img.shields.io/conda/dn/bioconda/r-gkmsvm.svg?style=flat :target: https://anaconda.org/bioconda/r-gkmsvm :alt: (downloads) .. |docker_r-gkmsvm| image:: https://quay.io/repository/biocontainers/r-gkmsvm/status :target: https://quay.io/repository/biocontainers/r-gkmsvm .. _`r-gkmsvm/tags`: https://quay.io/repository/biocontainers/r-gkmsvm?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html 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/r-gkmsvm/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/r-gkmsvm/README.html