caret: Classification and Regression Training

Misc functions for training and plotting classification and regression models

Version: 6.0-37
Depends: R (≥ 2.10), stats, lattice (≥ 0.20), ggplot2
Imports: car, reshape2, foreach, methods, plyr, nlme, BradleyTerry2
Suggests: e1071, earth (≥ 2.2-3), fastICA, gam, ipred, kernlab, klaR, MASS, ellipse, mda, mgcv, mlbench, nnet, party (≥ 0.9-99992), pls, pROC, proxy, randomForest, RANN, spls, subselect, pamr, superpc, Cubist, testthat
Published: 2014-11-10
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team and Michael Benesty.
Maintainer: Max Kuhn <Max.Kuhn at>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning, Multivariate
CRAN checks: caret results


Reference manual: caret.pdf
Vignettes: A Short Introduction to the caret Package
Package source: caret_6.0-37.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: caret_6.0-37.tgz, r-oldrel: caret_6.0-37.tgz
OS X Mavericks binaries: r-release: caret_6.0-37.tgz
Old sources: caret archive

Reverse dependencies:

Reverse depends: adabag, fscaret, KsPlot, ordBTL
Reverse imports: aLFQ, bootfs, imputeR, parboost
Reverse suggests: AppliedPredictiveModeling, Cubist, doParallel, doSNOW, emil, mlr, subsemble, SuperLearner