---

6.0-86 by Max Kuhn, 10 months 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 foreach, methods, plyr, ModelMetrics, nlme, reshape2, stats, stats4, utils, grDevices, recipes, withr, pROC

Depends on lattice, ggplot2

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

---

Imported by AdaSampling, BLRShiny, BLRShiny2, CAST, CMShiny, CSUV, CTShiny, CTShiny2, ClinicalUtilityRecal, ContaminatedMixt, CopulaCenR, DamiaNN, FSinR, FuncNN, GPCMlasso, JFE, KCSKNNShiny, KCSNBShiny, KNNShiny, LPRelevance, LassoGEE, LncFinder, MLDAShiny, MLDAShiny2, MNLR, MRFcov, MetaClean, MetabolomicsBasics, MiDA, NBShiny, NBShiny2, NBShiny3, NNS, NeuralSens, NoiseFiltersR, NonProbEst, ParallelDSM, PredPsych, RISCA, RMKL, RStoolbox, RaSEn, RadialVisGadgets, RelimpPCR, SLEMI, Sojourn, Sojourn.Data, TLBC, TestDimorph, TrafficBDE, WRTDStidal, aLFQ, ampir, assignPOP, autoBagging, biomod2, bnviewer, caretEnsemble, cat2cat, chemmodlab, classifierplots, clustDRM, coca, crtests, cytominer, datafsm, dissever, driveR, dtwSat, eclust, ensembleR, fairness, fdm2id, featuretoolsR, fieldRS, fmf, foster, glmdisc, glmtree, healthcareai, latrend, lilikoi, m2b, mand, mcca, metaEnsembleR, mikropml, mlquantify, modelgrid, mosaicModel, multiclassPairs, nbTransmission, nnGarrote, nonet, oncrawlR, panelWranglR, parboost, predtoolsTS, quantable, rModeling, rmda, sentometrics, shinyr, smartR, soilassessment, specmine, splitSelect, ssr, stepPenal, studyStrap, swag, varEst, waterquality, waves.

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

Suggested by AppliedPredictiveModeling, CBDA, Cubist, ENMTools, EventDetectR, GAparsimony, GSIF, NeuralNetTools, RGCxGC, SLOPE, SSLR, SmartMeterAnalytics, SuperLearner, aVirtualTwins, aurelius, breakDown, broom, butcher, ciu, condvis2, deepboost, discSurv, doParallel, doSNOW, easyalluvial, flashlight, idm, iml, imputeR, iprior, lulcc, metaforest, metamicrobiomeR, mlr, mlr3filters, mmb, modelplotr, moreparty, opera, ordinalClust, pdp, pmml, r2pmml, randomForestSRC, regsem, spFSR, spectacles, ssc, strip, superml, varrank, vip, xspliner.

Enhanced by bestglm, prediction.

---

See at CRAN