recipe r-perfmeas

Package that implements different performance measures for classification and ranking tasks. AUC, precision at a given recall, F-score for single and multiple classes are available.

Homepage:

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

License:

GPL3 / GPL-2.0-or-later

Recipe:

/r-perfmeas/meta.yaml

package r-perfmeas

versions:

1.2.5-4,  1.2.5-3,  1.2.5-2,  1.2.5-1,  1.2.5-0,  1.2.1-7,  1.2.1-6,  1.2.1-5,  1.2.1-4, 

1.2.5-4,  1.2.5-3,  1.2.5-2,  1.2.5-1,  1.2.5-0,  1.2.1-7,  1.2.1-6,  1.2.1-5,  1.2.1-4,  1.2.1-3,  1.2.1-2,  1.2.1-0

depends bioconductor-graph:

>=1.84.0,<1.85.0a0

depends bioconductor-limma:

>=3.62.0,<3.63.0a0

depends bioconductor-rbgl:

>=1.82.0,<1.83.0a0

depends libgcc:

>=13

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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-perfmeas

and update with::

   mamba update r-perfmeas

To create a new environment, run:

mamba create --name myenvname r-perfmeas

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-perfmeas:<tag>

(see `r-perfmeas/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

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