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: 2025-03-16 21:21:27 UTC; dev
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: CRAN
Date/Publication: 2025-03-18 12:30:02 UTC
