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, fastml, 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, 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, easy.glmnet, eclust, ensemblepp, FeatureHashing, fgga, fscaret, funkycells, genomicInstability, glmSparseNet, inferCSN, liver, 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.