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: | 1.15.0 |
| Depends: | R (≥ 2.14) |
| Imports: | methods, plyr, Rcpp (≥ 0.11.1) |
| LinkingTo: | Rcpp |
| Suggests: | microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2 |
| Published: | 2019-06-01 |
| 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) |
| 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_1.15.0.tar.gz |
| Windows binaries: | r-devel: pROC_1.15.0.zip, r-release: pROC_1.15.0.zip, r-oldrel: pROC_1.15.0.zip |
| OS X binaries: | r-release: pROC_1.15.0.tgz, r-oldrel: pROC_1.15.0.tgz |
| Old sources: | pROC archive |
| Reverse depends: | bimixt, FRESA.CAD, packMBPLSDA, RatingScaleReduction, RcmdrPlugin.ROC, roccv |
| Reverse imports: | Biocomb, biomod2, BioPET, biospear, blkbox, BootValidation, CalibratR, chemmodlab, DET, ebmc, EFS, elo, FAMILY, FFTrees, finalfit, glmaag, GmAMisc, gren, Immigrate, jsmodule, LANDD, LEGIT, lilikoi, LogisticDx, mcca, metamisc, MiDA, mlDNA, nestfs, nonet, psfmi, quantable, r4lineups, randomUniformForest, reportROC, sambia, SCGLR, statVisual, stepPenal, ThresholdROC, tpAUC, TrendInTrend, wevid, yardstick |
| Reverse suggests: | aplore3, arsenal, bst, caret, caretEnsemble, Causata, dtree, eclust, ensemblepp, fscaret, kernDeepStackNet, mldr, OSTSC, prioritylasso, RcmdrPlugin.EZR, riskRegression, waffect, WeightedROC |
| Reverse enhances: | palasso |
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