Package: PRROC
Type: Package
Title: Precision-Recall and ROC Curves for Weighted and Unweighted Data
Version: 1.4
Date: 2025-03-15
Authors@R: c(person(given = "Jan",
                      family = "Grau",
                      role = c("aut", "cre"),
                      email = "grau@informatik.uni-halle.de"),
               person(given = "Jens",
                      family = "Keilwagen",
                      role = "aut"))
Description: 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>.
License: GPL-3
Packaged: 2026-06-15 11:16:50 UTC; root
Suggests: testthat, ggplot2, ROCR
Depends: rlang
NeedsCompilation: no
Author: Jan Grau [aut, cre], Jens Keilwagen [aut]
Maintainer: Jan Grau <grau@informatik.uni-halle.de>
Repository: https://jgraux.r-universe.dev
Date/Publication: 2025-03-18 12:30:02 UTC
RemoteUrl: https://github.com/cran/PRROC
RemoteRef: HEAD
RemoteSha: cf6b4b4324e50e35b0735852b2690a6715d24070