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Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers

Bioconductor version: Release (3.19)

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.

Author: Juan-Pedro Garcia [aut, cre], Manuel Franco [aut], Juana-MarĂ­a Vivo [aut]

Maintainer: Juan-Pedro Garcia <juanpedro.garcia4 at>

Citation (from within R, enter citation("ROCpAI")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

ROC Partial Area Indexes for evaluating classifiers HTML R Script
Reference Manual PDF


biocViews Classification, Software, StatisticalMethod
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends boot, SummarizedExperiment, fission, knitr, methods
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Suggests BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package ROCpAI_1.16.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) ROCpAI_1.16.0.tgz
macOS Binary (arm64) ROCpAI_1.16.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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