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: 1.15.3
Depends: R (≥ 2.14)
Imports: methods, plyr, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp
Suggests: microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2
Published: 2019-07-21
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)
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

Downloads:

Reference manual: pROC.pdf
Package source: pROC_1.15.3.tar.gz
Windows binaries: r-devel: pROC_1.15.3.zip, r-release: pROC_1.15.3.zip, r-oldrel: pROC_1.15.3.zip
OS X binaries: r-release: pROC_1.15.3.tgz, r-oldrel: pROC_1.15.3.tgz
Old sources: pROC archive

Reverse dependencies:

Reverse depends: bimixt, FRESA.CAD, packMBPLSDA, RatingScaleReduction, RcmdrPlugin.ROC, roccv
Reverse imports: bbl, Biocomb, biomod2, BioPET, biospear, blkbox, BootValidation, CalibratR, chemmodlab, cvms, DET, ebmc, EFS, elo, emax.glm, FAMILY, FFTrees, finalfit, glmaag, GmAMisc, gren, Immigrate, jsmodule, LANDD, LEGIT, lilikoi, LogisticDx, mcca, metamisc, MiDA, mlDNA, nestfs, nonet, oncrawlR, psfmi, quantable, r4lineups, randomUniformForest, reportROC, sambia, SCGLR, statVisual, stepPenal, ThresholdROC, tpAUC, TrendInTrend, wevid, xspliner, yardstick
Reverse suggests: aplore3, arsenal, bst, caret, caretEnsemble, cassandRa, Causata, dtree, eclust, ensemblepp, fscaret, kernDeepStackNet, mipred, mldr, OSTSC, prioritylasso, RcmdrPlugin.EZR, riskRegression, waffect, WeightedROC
Reverse enhances: palasso

Linking:

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