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:	1.18.0
Depends:	R (≥ 2.14)
Imports:	methods, plyr, Rcpp (≥ 0.11.1)
LinkingTo:	Rcpp
Suggests:	microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2
Published:	2021-09-03
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:	http://expasy.org/tools/pROC/
NeedsCompilation:	yes
Citation:	pROC citation info
Materials:	README NEWS
CRAN checks:	pROC results

Documentation:

Reference manual:

pROC.pdf

Downloads:

Package source:	pROC_1.18.0.tar.gz
Windows binaries:	r-devel: pROC_1.18.0.zip, r-release: pROC_1.18.0.zip, r-oldrel: pROC_1.18.0.zip
macOS binaries:	r-release (arm64): pROC_1.18.0.tgz, r-oldrel (arm64): pROC_1.18.0.tgz, r-release (x86_64): pROC_1.18.0.tgz, r-oldrel (x86_64): pROC_1.18.0.tgz
Old sources:	pROC archive

Reverse dependencies:

Reverse depends:	FRESA.CAD, multiridge, packMBPLSDA, persDx, RatingScaleReduction, RcmdrPlugin.ROC, roccv, ROCpsych, switchBox
Reverse imports:	AutoScore, bbl, Biocomb, biomod2, BioPET, biospear, CalibratR, caret, chemmodlab, coda4microbiome, codacore, combiroc, CoOL, cvms, ebmc, ecpc, EFS, elo, fairness, finalfit, GmAMisc, gren, Hmsc, HPiP, hsstan, Immigrate, INSPEcT, interflex, jlsm, jsmodule, lares, LEGIT, lilikoi, LogisticDx, logitFD, mcca, metamisc, miceafter, microbiomeMarker, MiDA, mildsvm, MiMIR, MiRNAQCD, ModTools, MSiP, multid, multisite.accuracy, neatStats, nestedcv, nestfs, netprioR, NicheBarcoding, nonet, oncrawlR, pathwayTMB, PDATK, PMAPscore, pomodoro, preciseTAD, predtools, promor, psfmi, PSS.Health, r4lineups, randomUniformForest, reportROC, RIVER, Rtpca, sambia, SAMGEP, scAnnotatR, sccore, scds, SCGLR, SIAMCAT, sivs, spatialHeatmap, statVisual, stepPenal, sureLDA, ThresholdROC, ThresholdROCsurvival, tpAUC, transcriptR, TrendInTrend, TwoRegression, visualpred, wevid
Reverse suggests:	aplore3, arsenal, BDgraph, bst, BuyseTest, caretEnsemble, cassandRa, eclust, ensemblepp, FeatureHashing, fscaret, genomicInstability, glmSparseNet, liver, LKT, metabolomicsR, mldr, moreparty, oscar, Platypus, pre, prioritylasso, RcmdrPlugin.EZR, riskRegression, ROCaggregator, scoringTools, StratifiedMedicine, swag, TBSignatureProfiler, WeightedROC
Reverse enhances:	palasso

Linking:

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