pROC: Display and Analyze ROC Curves

Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.

Version: 1.16.2
Depends: R (≥ 2.14)
Imports: methods, plyr, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp
Suggests: microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2
Published: 2020-03-19
Author: Xavier Robin ORCID iD [cre, aut], Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frédérique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Müller [aut], Stefan Siegert [ctb] (Fast DeLong code), Matthias Doering [ctb] (Hand & Till Multiclass)
Maintainer: Xavier Robin <pROC-cran at>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: pROC citation info
Materials: README NEWS
CRAN checks: pROC results


Reference manual: pROC.pdf
Package source: pROC_1.16.2.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: pROC_1.16.2.tgz, r-oldrel: pROC_1.16.2.tgz
Old sources: pROC archive

Reverse dependencies:

Reverse depends: bimixt, FRESA.CAD, packMBPLSDA, RatingScaleReduction, RcmdrPlugin.ROC, roccv, switchBox
Reverse imports: bbl, Biocomb, BioMM, biomod2, BioPET, biospear, blkbox, CalibratR, caret, celda, chemmodlab, cvms, DET, ebmc, EFS, elo, emax.glm, fairness, FAMILY, finalfit, glmaag, GmAMisc, gren, Hmsc, hsstan, Immigrate, INSPEcT, jsmodule, LANDD, LEGIT, lilikoi, LogisticDx, mcca, mechkar, metamisc, MiDA, neatStats, nestfs, netprioR, nonet, oncrawlR, psfmi, quantable, r4lineups, randomUniformForest, reportROC, RIVER, sambia, scds, SCGLR, SIAMCAT, statVisual, stepPenal, ThresholdROC, tpAUC, transcriptR, TrendInTrend, wevid, xspliner, yardstick
Reverse suggests: aplore3, arsenal, bst, BuyseTest, caretEnsemble, cassandRa, Causata, doppelgangR, dtree, eclust, ensemblepp, FeatureHashing, fscaret, glmSparseNet, kernDeepStackNet, mipred, mldr, OSTSC, prioritylasso, RcmdrPlugin.EZR, riskRegression, waffect, WeightedROC
Reverse enhances: palasso


Please use the canonical form to link to this page.