6.0-93 by Max Kuhn, 6 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
GPL (>= 2) license
Imports e1071, foreach, grDevices, methods, ModelMetrics, nlme, plyr, pROC, recipes, reshape2, stats, stats4, utils, withr
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, CSCNet, CTShiny, CTShiny2, ClinicalUtilityRecal, CondiS, ConfusionTableR, ContaminatedMixt, CopulaCenR, D2MCS, DMLLZU, DMTL, DamiaNN, Ecume, EpiSemble, FFTrees, FSinR, FeatureTerminatoR, FuncNN, FunctanSNP, GPCMlasso, HTRX, KCSKNNShiny, KCSNBShiny, KNNShiny, LDLcalc, LOGANTree, LPRelevance, LassoGEE, LncFinder, MBMethPred, MLDataR, MNLR, MRFcov, MSiP, MantaID, MetabolomicsBasics, MiDA, MiMIR, NBShiny, NBShiny2, NBShiny3, NEONiso, NNS, NeuralSens, NonProbEst, OOS, OddsPlotty, ParallelDSM, PredPsych, PriceIndices, RISCA, RStoolbox, RaSEn, RadialVisGadgets, RelimpPCR, Rtropical, SAEforest, SLEMI, SoftBart, TSGS, WRTDStidal, aLFQ, ampir, assignPOP, autoBagging, bnviewer, caretEnsemble, caretForecast, chemmodlab, classifierplots, clustDRM, coca, criticality, crtests, cytominer, datafsm, dissever, driveR, dtwSat, eclust, ensembleR, fairness, featuretoolsR, fieldRS, fmf, foster, glmdisc, glmtrans, glmtree, hdcate, hypervolume, iSFun, icardaFIGSr, kfa, l1spectral, less, lilikoi, loadeR, m2b, mand, mcca, metaEnsembleR, mikropml, mlmts, mlquantify, modelgrid, mosaicModel, mtlgmm, multiclassPairs, mxnorm, nbTransmission, nestedcv, noisemodel, nonet, npcs, omu, oncrawlR, panelWranglR, pathwayTMB, planningML, pomodoro, predtoolsTS, promor, refitME, rmda, robustcov, sandwichr, sentometrics, shinyr, skedastic, soilassessment, sregsurvey, ssr, stabiliser, stepPenal, studyStrap, swag, theft, varEst, waterquality, waves.
Depended on by AntAngioCOOL, AutoStepwiseGLM, JQL, MRReg, MSclassifR, MobileTrigger, RandPro, SpatialML, adabag, dbcsp, fscaret, hsdar, iForecast, manymodelr, natstrat.
Suggested by AppliedPredictiveModeling, EventDetectR, FastImputation, GAparsimony, Infusion, LKT, NHSRdatasets, NeuralNetTools, Platypus, SAMtool, SLOPE, SSLR, SmartMeterAnalytics, SuperLearner, SurvMetrics, aVirtualTwins, archetyper, biomod2, breakDown, broom, bundle, butcher, cat2cat, ciu, condvis2, discSurv, doParallel, doSNOW, dynfeature, easyalluvial, fdm2id, flashlight, ibawds, idm, iml, imputeR, iprior, latrend, lulcc, metaforest, metamicrobiomeR, mlr, mlr3filters, mlr3spatiotempcv, mmb, modelplotr, moreparty, mshap, opera, ordinalClust, pdp, pmml, posterior, pre, predfairness, purgeR, r2pmml, randomForestSRC, regsem, rsleep, sageR, shapr, sits, spFSR, spectacles, ssc, strip, subsemble, superml, tornado, varrank, vetiver, vip.
Enhanced by bestglm, prediction.