caret (6.0-37)

Classification and Regression Training.

http://caret.r-forge.r-project.org/
http://cran.r-project.org/web/packages/caret

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 and Michael Benesty.

License: GPL-2

Uses: BradleyTerry2, 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, pROC, Cubist
Reverse depends: adabag, AntAngiCool, AntAngioCOOL, AutoStepwiseGLM, caretLSF, caretNWS, conformal, dtree, forecast, fscaret, hsdar, JQL, KsPlot, LncFinder, MobileTrigger, RandPro, rocc, SQB, textmining
Reverse suggests: AppliedPredictiveModeling, aurelius, aVirtualTwins, biomod2, breakDown, broom, CBDA, Cubist, data.table, deepboost, dendroTools, discSurv, doParallel, doSNOW, emil, FastImputation, forestFloor, GAparsimony, gmum.r, GSIF, iBreakDown, idm, iml, imputeR, Infusion, iprior, kernDeepStackNet, lulcc, mlr, modelplotr, mopa, NeuralNetTools, olsrr, opera, ordinalClust, pdp, pmml, r2pmml, randomForestSRC, recipes, regsem, SemiSupervised, Seurat, sparsediscrim, spectacles, spFSR, ssc, strip, SuperLearner, uavRst, varrank, vip, xspliner
Reverse enhances: bestglm, prediction

Released over 4 years ago.