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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 |
DOI: | 10.32614/CRAN.package.PRROC |
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 |
Reference manual: | PRROC.pdf |
Vignettes: |
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R |
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 imports: | biospear, DeepPINCS, FRASER, GroupBN, HPiP, ICBioMark, immunaut, mlr3measures, MSiP, OUTRIDER, prcbench, preciseTAD, saseR, SIAMCAT, simtrait, usefun |
Reverse suggests: | PheVis, WeightedROC |
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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.