pROC (1.4.2)

display and analyze ROC curves.

http://expasy.org/tools/pROC/
http://cran.r-project.org/web/packages/pROC

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.

Maintainer: Xavier Robin
Author(s): Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller

License: GPL (>= 3)

Uses: plyr, MASS
Reverse depends: bimixt, biomod2, bootfs, caret, FRESA.CAD, mlDNA, packMBPLSDA, RatingScaleReduction, RcmdrPlugin.EZR, roccv, ThresholdROC
Reverse suggests: aplore3, arsenal, bst, BuyseTest, caret, caretEnsemble, cassandRa, Causata, dtree, eclust, ensemblepp, FeatureHashing, fscaret, kernDeepStackNet, mipred, mldr, mlr, OSTSC, palasso, prioritylasso, RcmdrPlugin.EZR, riskRegression, sjstats, uavRst, waffect, WeightedROC
Reverse enhances: palasso

Released almost 9 years ago.