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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:	1.18.5
Depends:	R (≥ 2.14)
Imports:	methods, plyr, Rcpp (≥ 0.11.1)
LinkingTo:	Rcpp
Suggests:	microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2, rlang
Published:	2023-11-01
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.pdf

Downloads:

Package source:	pROC_1.18.5.tar.gz
Windows binaries:	r-devel: pROC_1.18.5.zip, r-release: pROC_1.18.5.zip, r-oldrel: pROC_1.18.5.zip
macOS binaries:	r-release (arm64): pROC_1.18.5.tgz, r-oldrel (arm64): pROC_1.18.5.tgz, r-release (x86_64): pROC_1.18.5.tgz, r-oldrel (x86_64): pROC_1.18.5.tgz
Old sources:	pROC archive

Reverse dependencies:

Reverse depends:	FRESA.CAD, HMTL, multiridge, packMBPLSDA, persDx, RatingScaleReduction, RcmdrPlugin.ROC, roccv, ROCpsych, switchBox, varoc
Reverse imports:	AutoScore, bbl, BDgraph, betaclust, betaHMM, biomod2, BioPET, BioPred, biospear, CalibratR, caret, clintools, coda4microbiome, codacore, combiroc, CompMix, CoOL, cvms, DeepTarget, DSAM, Dtableone, dtComb, ebmc, ecpc, EFS, elo, EQUALSTATS, fairness, finalfit, glossa, Hmsc, HPiP, hsstan, idiolect, Immigrate, immunaut, INSPEcT, interflex, jsmodule, kgraph, lares, LEGIT, lilikoi, LKT, logitFD, lsirm12pl, MBMethPred, mcca, mcradds, metamisc, miceafter, MiDA, mildsvm, MiMIR, MiRNAQCD, mixvlmc, ModTools, MSiP, mslp, MultiClassROC, multid, multisite.accuracy, MUVR2, neatStats, nestedcv, nestfs, netprioR, NicheBarcoding, nonet, oncrawlR, oscar, pathwayTMB, planningML, PMAPscore, pmvalsampsize, pomodoro, pprof, preciseTAD, predRupdate, predtools, promor, psfmi, PSS.Health, r4lineups, RAIDS, randomUniformForest, RegAssure, reportROC, Rforestry, rgm, RIVER, RobustPrediction, rocbc, RQdeltaCT, Rtpca, sambia, SAMGEP, scAnnotatR, sccore, scds, SCGLR, SIAMCAT, signeR, sivs, SmCCNet, smdi, stackgbm, statVisual, stepPenal, sureLDA, ThresholdROC, ThresholdROCsurvival, TOP, tpAUC, transcriptR, TrendInTrend, triptych, visualpred, wevid
Reverse suggests:	aplore3, arsenal, bst, BuyseTest, cassandRa, catalytic, easy.glmnet, eclust, ensemblepp, FeatureHashing, fgga, fscaret, funkycells, fuseMLR, genomicInstability, glmSparseNet, inferCSN, liver, MAP, mldr, moreparty, palasso, pre, prioritylasso, qeML, RcmdrPlugin.EZR, riskRegression, ROCaggregator, spatialHeatmap, spmodel, StratifiedMedicine, swag, WeightedROC, xtune

Linking:

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

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.