AUC: Threshold Independent Performance Measures for Probabilistic Classifiers

Various functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). Support for visualization and partial areas is included.

Version:	0.3.2
Published:	2022-04-04
DOI:	10.32614/CRAN.package.AUC
Author:	Michel Ballings and Dirk Van den Poel
Maintainer:	Michel Ballings <Michel.Ballings at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	AUC results

Documentation:

Reference manual:

AUC.html , AUC.pdf

Downloads:

Package source:	AUC_0.3.2.tar.gz
Windows binaries:	r-devel: AUC_0.3.2.zip, r-release: AUC_0.3.2.zip, r-oldrel: AUC_0.3.2.zip
macOS binaries:	r-release (arm64): AUC_0.3.2.tgz, r-oldrel (arm64): AUC_0.3.2.tgz, r-release (x86_64): AUC_0.3.2.tgz, r-oldrel (x86_64): AUC_0.3.2.tgz
Old sources:	AUC archive

Reverse dependencies:

Reverse imports:	cmaRs, interpretR, kernelFactory, MAKL, randnet
Reverse suggests:	aphylo, broom, cvms

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AUC to link to this page.