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: | 1.10.0 |
Depends: | R (≥ 2.14) |
Imports: | plyr, utils, methods, Rcpp (≥ 0.11.1), ggplot2 |
LinkingTo: | Rcpp |
Suggests: | microbenchmark, tcltk, MASS, logcondens, doParallel, testthat |
Published: | 2017-06-10 |
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) |
Maintainer: | Xavier Robin <robin at lindinglab.org> |
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_1.10.0.tar.gz |
Windows binaries: | r-devel: pROC_1.10.0.zip, r-release: pROC_1.10.0.zip, r-oldrel: pROC_1.10.0.zip |
OS X El Capitan binaries: | r-release: pROC_1.10.0.tgz |
OS X Mavericks binaries: | r-oldrel: pROC_1.10.0.tgz |
Old sources: | pROC archive |
Reverse depends: | bimixt, FRESA.CAD, RatingScaleReduction, RcmdrPlugin.ROC, roccv |
Reverse imports: | Biocomb, biomod2, BioPET, biospear, blkbox, BootValidation, chemmodlab, ebmc, EFS, elo, FAMILY, healthcareai, LANDD, LEGIT, LogisticDx, LOGIT, mcca, mlDNA, quantable, randomUniformForest, reportROC, SCGLR, stepPenal, ThresholdROC, tpAUC, TrendInTrend, yardstick |
Reverse suggests: | aplore3, arsenal, bst, caret, caretEnsemble, Causata, dtree, eclust, ensemblepp, fscaret, kernDeepStackNet, mldr, mlr, OSTSC, prioritylasso, RcmdrPlugin.EZR, riskRegression, sjstats, waffect |
Please use the canonical form https://CRAN.R-project.org/package=pROC to link to this page.