caret (6.0-77)

10 users

Classification and Regression Training.

https://github.com/topepo/caret/
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, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, and Tyler Hunt.

License: GPL (>= 2)

Uses: foreach, ggplot2, lattice, ModelMetrics, nlme, plyr, recipes, reshape2, withr, 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, MLmetrics
Reverse depends: adabag, AntAngiCool, AntAngioCOOL, caretLSF, caretNWS, conformal, dtree, forecast, fscaret, hsdar, KsPlot, LncFinder, rocc, textmining
Reverse suggests: AppliedPredictiveModeling, aurelius, aVirtualTwins, biomod2, Cubist, data.table, deepboost, dendroTools, discSurv, doParallel, doSNOW, emil, FastImputation, forestFloor, GAparsimony, gmum.r, GSIF, idm, Infusion, kernDeepStackNet, lulcc, mlr, mopa, NeuralNetTools, opera, pdp, recipes, regsem, sparsediscrim, ssc, strip, SuperLearner

Released about 1 month ago.

90 previous versions

Ratings

Overall:
  4.4/5 (9 votes)

Documentation:
  4.4/5 (8 votes)

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Visit caret on R Graphical Manual.