CRAN/E | PRROC

PRROC

Precision-Recall and ROC Curves for Weighted and Unweighted Data

Installation

About

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.

Citation PRROC citation info

Key Metrics

Version 1.3.1
Published 2018-06-19 2139 days ago
Needs compilation? no
License GPL-3
CRAN checks PRROC results

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Maintainer

Maintainer

Jan Grau

grau@informatik.uni-halle.de

Authors

Jan Grau
Jens Keilwagen

Material

Reference manual
Package source

Vignettes

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PRROC archive

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