caret (6.0-68)

10 users

Classification and Regression Training.

Misc functions for training and plotting classification and regression models.

Maintainer: Max Kuhn
Author(s): Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, and Can Candan.

License: GPL (>= 2)

Uses: car, foreach, ggplot2, lattice, nlme, plyr, reshape2, e1071, earth, ellipse, fastICA, gam, ipred, kernlab, klaR, mda, mgcv, mlbench, pamr, party, pls, proxy, randomForest, subselect, superpc, spls, MASS, nnet, testthat, RANN, BradleyTerry2, pROC, Cubist
Reverse depends: adabag, caretLSF, caretNWS, conformal, forecast, fscaret, hsdar, KsPlot, rocc
Reverse suggests: AppliedPredictiveModeling, biomod2, Cubist, data.table, deepboost, discSurv, doParallel, doSNOW, emil, gmum.r, GSIF, kernDeepStackNet, lulcc, mlr, NeuralNetTools, SuperLearner

Released about 1 month ago.

84 previous versions



  4.4/5 (9 votes)


  4.4/5 (8 votes)

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Related packages: bayesm, h2o, GAMBoost, rgenoud, varSelRF, e1071, earth, kernlab, klaR, party, ROCR, rpart, pls, rda, randomForestSRC, Rborist, rgp, BatchJobs, BatchExperiments, RSNNS(20 best matches, based on common tags.)

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Visit caret on R Graphical Manual.