Classification and Regression Training

Misc functions for training and plotting classification and regression models.


Reference manual

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6.0-84 by Max Kuhn, 2 months ago

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Authors: 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.

Documentation:   PDF Manual  

Task views: High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning, Multivariate Statistics

GPL (>= 2) license

Imports foreach, methods, plyr, ModelMetrics, nlme, reshape2, stats, stats4, utils, grDevices, recipes, withr

Depends on lattice, ggplot2

Suggests BradleyTerry2, e1071, earth, fastICA, gam, ipred, kernlab, knitr, klaR, MASS, ellipse, mda, mgcv, mlbench, MLmetrics, nnet, party, pls, pROC, proxy, randomForest, RANN, spls, subselect, pamr, superpc, Cubist, testthat, rpart, dplyr

Imported by AdaSampling, BLRShiny, CAST, CTShiny, ContaminatedMixt, CopulaCenR, DamiaNN, ESKNN, FFTrees, GPCMlasso, KNNShiny, LncFinder, MLDAShiny, MNLR, MRFcov, MetabolomicsBasics, MiDA, NBShiny, NeuralSens, NoiseFiltersR, PCRedux, PredPsych, RMKL, RStoolbox, RTransProb, RelimpPCR, Sojourn, Sojourn.Data, TLBC, TrafficBDE, WRTDStidal, aLFQ, assignPOP, autoBagging, blkbox, blorr, caretEnsemble, chemmodlab, ck37r, classifierplots, clustDRM, crtests, datafsm, diceR, dissever, dtwSat, easyalluvial, eclust, ensembleR, fieldRS, glmdisc, healthcareai, hpiR, kernDeepStackNet, lilikoi, m2b, manymodelr, mcca, modelgrid, mosaicModel, neuropsychology, nonet, parboost, predtoolsTS, preprocomb, preprosim, preproviz, quantable, rmda, rsMove, sentometrics, smartR, specmine, stepPenal.

Depended on by AntAngioCOOL, AutoStepwiseGLM, JQL, MobileTrigger, RandPro, SQB, adabag, dtree, fscaret, hsdar, ordBTL, textmining.

Suggested by AppliedPredictiveModeling, CBDA, Cubist, FastImputation, GAparsimony, GSIF, NeuralNetTools, SuperLearner, aVirtualTwins, aurelius, biomod2, breakDown, broom, deepboost, discSurv, doParallel, doSNOW, forestFloor, iBreakDown, idm, iml, imputeR, iprior, lulcc, mlr, modelplotr, mopa, olsrr, opera, ordinalClust, pdp, pmml, randomForestSRC, regsem, spFSR, spectacles, ssc, strip, superml, varrank, vip, xspliner.

Enhanced by bestglm, prediction.

See at CRAN