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:	1.19.0.1
Depends:	R (≥ 2.14)
Imports:	methods, Rcpp (≥ 0.11.1)
LinkingTo:	Rcpp
Suggests:	tcltk, MASS, logcondens, testthat, vdiffr, ggplot2, rlang
Published:	2025-07-31
DOI:	10.32614/CRAN.package.pROC
Author:	Xavier Robin [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), Zane Billings [ctb] (DeLong paired test CI)
Maintainer:	Xavier Robin <pROC-cran at xavier.robin.name>
BugReports:	https://github.com/xrobin/pROC/issues
License:	GPL (≥ 3)
URL:	https://xrobin.github.io/pROC/
NeedsCompilation:	yes
Citation:	pROC citation info
Materials:	README, NEWS
CRAN checks:	pROC results

Documentation:

Reference manual:

pROC.html , pROC.pdf

Downloads:

Package source:	pROC_1.19.0.1.tar.gz
Windows binaries:	r-devel: pROC_1.19.0.1.zip, r-release: pROC_1.19.0.1.zip, r-oldrel: pROC_1.19.0.1.zip
macOS binaries:	r-release (arm64): pROC_1.19.0.1.tgz, r-oldrel (arm64): pROC_1.19.0.1.tgz, r-release (x86_64): pROC_1.19.0.1.tgz, r-oldrel (x86_64): pROC_1.19.0.1.tgz
Old sources:	pROC archive

Reverse dependencies:

Reverse depends:	alternativeROC, btml, btrm, FRESA.CAD, HMTL, LogisticEnsembles, multiridge, packMBPLSDA, persDx, RatingScaleReduction, RcmdrPlugin.ROC, roccv, ROCpsych, switchBox, tgml, varoc
Reverse imports:	ActiveLearning4SPM, AgeTopicModels, ApplyPolygenicScore, autoFlagR, AutoScore, auxvecLASSO, bbl, BDgraph, betaclust, betaHMM, biomod2, BioMoR, BioPET, BioPred, biospear, bnns, CalibratR, caret, caretSDM, celda, clintools, coda4microbiome, codacore, combiroc, CompoundEvents, cvms, CytoProfile, DDESONN, DeepTarget, DET, DSAM, Dtableone, dtComb, E2E, ebmc, elo, EQUALPrognosis, EQUALSTATS, EvalTest, fairGATE, fairGNN, fairness, fastml, filtro, finalfit, glossa, heimdall, HetSeq, Hmsc, HPiP, hsstan, idiolect, Immigrate, immunaut, INSPEcT, interflex, jsmodule, kgraph, lares, LEGIT, lilikoi, LKT, logitFD, lsirm12pl, LSMjml, markeR, MBMethPred, mcca, mcradds, metamisc, miceafter, mildsvm, MiRNAQCD, mispitools, mixvlmc, ModTools, MSiP, mslp, MUGS, MultiClassROC, multid, multisite.accuracy, MUVR2, mvfmr, nestedcv, nestfs, netprioR, NicheBarcoding, nonet, ONAM, oscar, PatientLevelPrediction, PDATK, PEAXAI, pminternal, pmvalsampsize, pomodoro, powerPLS, pprof, preciseTAD, predRupdate, predtools, priorityelasticnet, promor, psfmi, PSS.Health, QuanDA, quickSentiment, r4lineups, RAIDS, randomUniformForest, raptools, RegAssure, reportROC, riskscores, RIVER, RobustPrediction, rocbc, roclab, RQdeltaCT, Rtpca, S4DM, sambia, SAMGEP, scAnnotatR, sccore, scds, SCGLR, SIAMCAT, signeR, sivs, smdi, sparselink, sphereML, stackgbm, stepPenal, StepReg, sureLDA, TBSignatureProfiler, ThresholdROC, ThresholdROCsurvival, TOP, tpAUC, transcriptR, TrendInTrend, triptych, TSLA, TwoRegression, visualpred, wevid
Reverse suggests:	aplore3, arsenal, BGLR, bioLeak, bst, BuyseTest, cassandRa, catalytic, clinpubr, DataSimilarity, easy.glmnet, ensemblepp, fairmetrics, fgga, funkycells, fuseMLR, genomicInstability, glmSparseNet, iModMix, inferCSN, liver, MAP, mldr, OptimalBinningWoE, palasso, pre, prioritylasso, qeML, RcmdrPlugin.EZR, riskRegression, ROCaggregator, scGraphVerse, SIS, spatialHeatmap, spmodel, SSN2, StratifiedMedicine, summata, swag, WeightedROC

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pROC to link to this page.