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: | 1.16.2 |
Depends: | R (≥ 2.14) |
Imports: | methods, plyr, Rcpp (≥ 0.11.1) |
LinkingTo: | Rcpp |
Suggests: | microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2 |
Published: | 2020-03-19 |
Author: | Xavier Robin |
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 |
Reference manual: | pROC.pdf |
Package source: | pROC_1.16.2.tar.gz |
Windows binaries: | r-devel: pROC_1.16.2.zip, r-release: pROC_1.16.2.zip, r-oldrel: pROC_1.16.2.zip |
macOS binaries: | r-release: pROC_1.16.2.tgz, r-oldrel: pROC_1.16.2.tgz |
Old sources: | pROC archive |
Reverse depends: | bimixt, FRESA.CAD, packMBPLSDA, RatingScaleReduction, RcmdrPlugin.ROC, roccv, switchBox |
Reverse imports: | bbl, Biocomb, BioMM, biomod2, BioPET, biospear, blkbox, CalibratR, caret, celda, chemmodlab, cvms, DET, ebmc, EFS, elo, fairness, FAMILY, finalfit, glmaag, GmAMisc, gren, Hmsc, hsstan, Immigrate, INSPEcT, jsmodule, LANDD, LEGIT, LogisticDx, mcca, metamisc, MiDA, MiRNAQCD, neatStats, nestfs, netprioR, nonet, oncrawlR, psfmi, quantable, r4lineups, randomUniformForest, reportROC, RIVER, sambia, scds, SCGLR, SIAMCAT, statVisual, stepPenal, ThresholdROC, tpAUC, transcriptR, TrendInTrend, wevid, xspliner, yardstick |
Reverse suggests: | aplore3, arsenal, bst, BuyseTest, caretEnsemble, cassandRa, dtree, eclust, ensemblepp, FeatureHashing, fscaret, glmSparseNet, mipred, mldr, moreparty, OSTSC, prioritylasso, RcmdrPlugin.EZR, riskRegression, StratifiedMedicine, WeightedROC |
Reverse enhances: | palasso |
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