pROC (1.10.0)

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 [cre, aut], Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frdrique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Mller [aut], Stefan Siegert [ctb] (Fast DeLong code)

License: GPL (>= 3)

Uses: ggplot2, plyr, Rcpp, logcondens, MASS, testthat, microbenchmark, doParallel
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 over 2 years ago.