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PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data

Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.

Version: 1.3.1
Suggests: testthat, ggplot2, ROCR
Published: 2018-06-19
Author: Jan Grau and Jens Keilwagen
Maintainer: Jan Grau <grau at informatik.uni-halle.de>
License: GPL-3
NeedsCompilation: no
Citation: PRROC citation info
CRAN checks: PRROC results

Documentation:

Reference manual: PRROC.pdf
Vignettes: PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R

Downloads:

Package source: PRROC_1.3.1.tar.gz
Windows binaries: r-devel: PRROC_1.3.1.zip, r-release: PRROC_1.3.1.zip, r-oldrel: PRROC_1.3.1.zip
macOS binaries: r-release (arm64): PRROC_1.3.1.tgz, r-oldrel (arm64): PRROC_1.3.1.tgz, r-release (x86_64): PRROC_1.3.1.tgz, r-oldrel (x86_64): PRROC_1.3.1.tgz
Old sources: PRROC archive

Reverse dependencies:

Reverse imports: biospear, DeepPINCS, DeProViR, FRASER, GroupBN, HPiP, ICBioMark, mlr3measures, MSiP, OUTRIDER, prcbench, preciseTAD, saseR, SIAMCAT, simtrait, usefun
Reverse suggests: pareg, PheVis, WeightedROC

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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