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 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), 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, 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, MAP, mldr, moreparty, palasso, pre, prioritylasso, qeML, RcmdrPlugin.EZR, riskRegression, ROCaggregator, spatialHeatmap, spmodel, StratifiedMedicine, swag, WeightedROC, xtune

Linking:

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