PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data
Version 1.3

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) ; Keilwagen et al. (2014) ; Grau et al. (2015) .

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AuthorJan Grau and Jens Keilwagen
Date of publication2017-04-21 18:46:33 UTC
MaintainerJan Grau <grau@informatik.uni-halle.de>
LicenseGPL-3
Version1.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("PRROC")

Man pages

plot.PRROC: Plotting PRROC objects
pr.curve: PR curve
print.PRROC: printing PRROC objects
PRROC-package: Compute and plot PR and ROC curves and the areas under the...
roc.curve: ROC curve

Functions

PRROC Man page
PRROC-package Man page
append.to.curve Source code
check Source code
compute.pr Source code
compute.roc Source code
create.curve Source code
getColor Source code
plot.PRROC Man page Source code
pr.curve Man page Source code
print.PRROC Man page Source code
roc.curve Man page Source code

Files

inst
inst/CITATION
inst/doc
inst/doc/PRROC.R
inst/doc/PRROC.Rnw
inst/doc/PRROC.pdf
tests
tests/all_tests.R
tests/testthat
tests/testthat/test-ROC.R
tests/testthat/test-PR.R
NAMESPACE
R
R/PRROC.R
vignettes
vignettes/PRROC.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/PRROC-package.Rd
man/pr.curve.Rd
man/roc.curve.Rd
man/print.PRROC.Rd
man/plot.PRROC.Rd
PRROC documentation built on May 19, 2017, 6:55 p.m.