caret: Classification and Regression Training

Misc functions for training and plotting classification and regression models

Version: 4.27
Depends: R (≥ 2.5.1), lattice
Suggests: gbm, pls, mlbench, rpart, ellipse, ipred, klaR, randomForest, gpls, pamr, kernlab, mda, mgcv, nnet, class, MASS, mboost, earth (≥ 2.2-3), party, ada, affy, proxy, e1071, grid, elasticnet, SDDA, caTools, RWeka (≥ 0.3-14), superpc, penalized, sparseLDA (≥ 0.1-1), spls, sda, glmnet, relaxo, lars, vbmp, nodeHarvest
Published: 2009-11-05
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer and Allan Engelhardt
Maintainer: Max Kuhn <Max.Kuhn at pfizer.com>
License: GPL-2
URL: http://caret.r-forge.r-project.org/
In views: HighPerformanceComputing, MachineLearning, Multivariate
CRAN checks: caret results

Downloads:

Package source: caret_4.27.tar.gz
MacOS X binary: caret_4.27.tgz
Windows binary: caret_4.27.zip
Reference manual: caret.pdf
Vignettes: caret Manual – Data and Functions
caret Manual – Variable Selection
caret Manual – Model Building
caret Manual – Variable Importance
Old sources: caret archive