- recipe bioconductor-rocpai
Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/ROCpAI.html
- License:
GPL-3
- Recipe:
The package analyzes the Curve ROC, identificates it among different types of Curve ROC and calculates the area under de curve through the method that is most accuracy. This package is able to standarizate proper and improper pAUC.
- package bioconductor-rocpai¶
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 bioconductor-rocpai and update with:: mamba update bioconductor-rocpai
To create a new environment, run:
mamba create --name myenvname bioconductor-rocpai
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/bioconductor-rocpai:<tag> (see `bioconductor-rocpai/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/bioconductor-rocpai/README.html)