caret: Classification and Regression Training

Misc functions for training and plotting classification and regression models

Version: 5.16-04
Depends: R (≥ 2.10), cluster, foreach, lattice (≥ 0.20), plyr, reshape2, stats
Suggests: ada, affy, arm, Boruta, bst, C50, car, caTools, class, Cubist, e1071, earth (≥ 2.2-3), elasticnet, ellipse, evtree, extraTrees, fastICA, foba, gam, GAMens (≥ 1.1.1), gbm (≥ 2.1), glmnet (≥ 1.8), gpls, grid, hda, HDclassif, HiDimDA, Hmisc, ipred, kernlab, kknn, klaR, kohonen, KRLS, lars, leaps, LogicForest, logicFS, LogicReg, MASS, mboost, mda, mgcv, mlbench, neuralnet, nnet, nodeHarvest, obliqueRF, pamr, partDSA, party (≥ 0.9-99992), penalized, penalizedLDA, pls, pROC, proxy, qrnn, quantregForest, randomForest, RANN, relaxo, rFerns, rocc, rpart, rrcov, RRF, rrlda, RSNNS, RWeka (≥ 0.4-1), sda, SDDA, sparseLDA (≥ 0.1-1), spls, stepPlr, superpc, vbmp
Published: 2013-05-17
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt and Tony Cooper
Maintainer: Max Kuhn <Max.Kuhn at pfizer.com>
License: GPL-2
URL: http://caret.r-forge.r-project.org/
NeedsCompilation: yes
In views: HighPerformanceComputing, MachineLearning, Multivariate
CRAN checks: caret results

Downloads:

Package source: caret_5.16-04.tar.gz
MacOS X binary: caret_5.15-61.tgz
Windows binary: caret_5.15-61.zip
Reference manual: caret.pdf
Vignettes: A Short Introduction to the caret Package
News/ChangeLog:NEWS
Old sources: caret archive

Reverse dependencies:

Reverse depends: adabag, KsPlot
Reverse suggests: Cubist, SuperLearner