Classification and Regression Training

Misc functions for training and plotting classification and regression models.


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install.packages("caret")

6.0-90 by Max Kuhn, 15 days ago


https://github.com/topepo/caret/


Report a bug at https://github.com/topepo/caret/issues


Browse source code at https://github.com/cran/caret


Authors: Max Kuhn [aut, cre] , Jed Wing [ctb] , Steve Weston [ctb] , Andre Williams [ctb] , Chris Keefer [ctb] , Allan Engelhardt [ctb] , Tony Cooper [ctb] , Zachary Mayer [ctb] , Brenton Kenkel [ctb] , R Core Team [ctb] , Michael Benesty [ctb] , Reynald Lescarbeau [ctb] , Andrew Ziem [ctb] , Luca Scrucca [ctb] , Yuan Tang [ctb] , Can Candan [ctb] , Tyler Hunt [ctb]


Documentation:   PDF Manual  


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


GPL (>= 2) license


Imports e1071, foreach, grDevices, methods, ModelMetrics, nlme, plyr, pROC, recipes, reshape2, stats, stats4, utils, withr

Depends on ggplot2, lattice

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


Imported by AdaSampling, BLRShiny, BLRShiny2, CAST, CMShiny, CSUV, CTShiny, CTShiny2, ClinicalUtilityRecal, ConfusionTableR, ContaminatedMixt, CopulaCenR, D2MCS, DMLLZU, DMTL, DamiaNN, Ecume, FSinR, FeatureTerminatoR, FuncNN, GPCMlasso, JFE, KCSKNNShiny, KCSNBShiny, KNNShiny, LDLcalc, LKT, LPRelevance, LassoGEE, LncFinder, MLDAShiny, MLDAShiny2, MNLR, MRFcov, MSiP, MetaClean, MetabolomicsBasics, MiDA, NBShiny, NBShiny2, NBShiny3, NNS, NeuralSens, NoiseFiltersR, NonProbEst, OOS, OddsPlotty, ParallelDSM, PredPsych, PriceIndices, RISCA, RStoolbox, RaSEn, RadialVisGadgets, RelimpPCR, SLEMI, TIGERr, TSGS, TestDimorph, WRTDStidal, aLFQ, ampir, assignPOP, autoBagging, biomod2, bnviewer, caretEnsemble, cat2cat, catSplit, chemmodlab, classifierplots, clustDRM, coca, crtests, cytominer, datafsm, dbcsp, dissever, driveR, dtwSat, eclust, ensembleR, fairness, fdm2id, featuretoolsR, fieldRS, fmf, foster, fusionchartsR, glmdisc, glmtrans, glmtree, healthcareai, iSFun, icardaFIGSr, latrend, lilikoi, m2b, mand, mcca, metaEnsembleR, mikropml, mlquantify, modelgrid, mosaicModel, multiclassPairs, nbTransmission, nonet, npcs, oncrawlR, panelWranglR, parboost, pathwayTMB, predtoolsTS, quantable, refitME, rmda, robustcov, sentometrics, shinyr, smartR, soilassessment, specmine, sregsurvey, ssr, stabiliser, stepPenal, studyStrap, swag, varEst, waterquality, waves.

Depended on by AntAngioCOOL, AutoStepwiseGLM, JQL, MRReg, MobileTrigger, RandPro, SQB, adabag, dtree, fscaret, hsdar, iForecast, manymodelr, natstrat.

Suggested by AppliedPredictiveModeling, CBDA, ENMTools, EventDetectR, GAparsimony, NHSRdatasets, NeuralNetTools, RGCxGC, SAMtool, SLOPE, SSLR, SmartMeterAnalytics, SuperLearner, SurvMetrics, aVirtualTwins, archetyper, aurelius, breakDown, broom, butcher, ciu, condvis2, deepboost, discSurv, doParallel, doSNOW, dynfeature, easyalluvial, flashlight, ibawds, idm, iml, imputeR, iprior, lulcc, metaforest, metamicrobiomeR, mlr, mlr3filters, mlr3spatiotempcv, mmb, modelplotr, moreparty, mshap, opera, ordinalClust, pdp, pmml, posterior, predfairness, purgeR, r2pmml, randomForestSRC, regsem, shapr, spFSR, spectacles, ssc, strip, superml, varrank, vip, xspliner.

Enhanced by bestglm, prediction.


See at CRAN