Version: 7.0-1

Depends: ggplot2, lattice (≥ 0.20), R (≥ 3.2.0)

Imports: e1071, foreach, grDevices, methods, ModelMetrics (≥ 1.2.2.2), nlme, plyr, pROC, recipes (≥ 0.1.10), reshape2, stats, stats4, utils, withr (≥ 2.0.0)

Suggests: BradleyTerry2, covr, Cubist, dplyr, earth (≥ 2.2-3), ellipse, fastICA, gam (≥ 1.15), ipred, kernlab, klaR, knitr, MASS, Matrix, mda, mgcv, mlbench, MLmetrics, nnet, pamr, party (≥ 0.9-99992), pls, proxy, randomForest, RANN, rmarkdown, rpart, spls, superpc, testthat (≥ 0.9.1), themis (≥ 0.1.3)

Published: 2024年12月10日

DOI: 10.32614/CRAN.package.caret

Author: Max Kuhn ORCID iD [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]

Maintainer: Max Kuhn <mxkuhn at gmail.com>

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

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

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

NeedsCompilation: yes

Citation: caret citation info

Materials: NEWS

In views: HighPerformanceComputing, MachineLearning, Spatial

CRAN checks: caret results

Reference manual: caret.html , caret.pdf

Vignettes: A Short Introduction to the caret Package (source, R code)

Package source: caret_7.0-1.tar.gz

Windows binaries: r-devel: caret_7.0-1.zip, r-release: caret_7.0-1.zip, r-oldrel: caret_7.0-1.zip

macOS binaries: r-release (arm64): caret_7.0-1.tgz, r-oldrel (arm64): caret_7.0-1.tgz, r-release (x86_64): caret_7.0-1.tgz, r-oldrel (x86_64): caret_7.0-1.tgz

Old sources: caret archive

Reverse depends: adabag, AntAngioCOOL, AutoStepwiseGLM, ClassificationEnsembles, criticality, dbcsp, JQL, MantaID, maPredictDSC, MLSeq, MRReg, MSclassifR, NumericEnsembles, RandPro, stacking

Reverse imports: AdaSampling, aggTrees, aLFQ, ampir, animalcules, ASML, assignPOP, autoBagging, BG2, bigPLScox, BioM2, BioMoR, BLRShiny, BLRShiny2, BMisc, bnviewer, bspcov, caretEnsemble, caretForecast, caretSDM, CAST, causalQual, ccar3, CCI, cdgd, CEEMDANML, CimpleG, classifierplots, climodr, ClinicalUtilityRecal, CMShiny, coca, combat.enigma, CondiS, ConfusionTableR, ContaminatedMixt, CopulaCenR, Coxmos, CPSM, cramR, CSCNet, CTShiny, CTShiny2, CytoGLMM, cytominer, CytoProfile, daltoolbox, DamiaNN, DaMiRseq, datafsm, DebiasInfer, DeepLearningCausal, dfr, dissever, DMTL, driveR, DSAM, dtComb, E2E, eclust, Ecume, EMgaussian, EpidigiR, EpiSemble, evalITR, FAST.R, FastJM, FastRet, FeatureTerminatoR, FFTrees, flevr, FLORAL, flowml, FSinR, FuncNN, FunctanSNP, GB5mcPred, geomod, GINAX, glmtrans, GPCMlasso, GWAS.BAYES, HaploCatcher, hdcate, heimdall, HTRX, hyper.gam, hypervolume, icardaFIGSr, idiolect, iForecast, iimi, ImFoR, ImML, immunaut, imt, ImVol, ipd, iSFun, jazzPanda, JMH, KCSKNNShiny, KCSNBShiny, kfa, KMEANS.KNN, KNNShiny, KnowSeq, l1spectral, LassoGEE, LCCkNN, less, lilikoi, LncFinder, loadeR, LPRelevance, m2b, MAI, MAIT, mand, manydata, manymodelr, matrans, maxEff, mbg, MBMethPred, mcca, metabCombiner, MetabolomicsBasics, metaEnsembleR, meteo, mgwrsar, MicrobTiSDA, mikropml, mistyR, MLDataR, MLmorph, mlmts, mlquantify, mlspatial, MNLR, mpae, MRFcov, MSiP, mtlgmm, multiclassPairs, MUVR2, mxnorm, NBShiny, NBShiny2, NBShiny3, nbTransmission, NEONiso, nestedcv, NeuralSens, noisemodel, nonet, NonProbEst, npcs, OddsPlotty, omu, OncoSubtype, OpEnHiMR, opImputation, oRaklE, outliers.ts.oga, PAGE, panelWranglR, pathMED, PDATK, PEAXAI, peptoolkit, POMA, pomodoro, powerPLS, pprof, preciseTAD, PredPsych, predtoolsTS, PriceIndices, priorityelasticnet, pRoloc, promor, RadialVisGadgets, RankPCA, RaSEn, RCTrep, refitME, RelimpPCR, REMP, RGCCA, RISCA, rmda, roclab, roseRF, rQSAR, RStoolbox, rTLsDeep, Rtropical, sae.projection, SAiVE, scAnnotatR, scGPS, scR, sentometrics, sgs, SHAPBoost, shinyr, skedastic, SLEMI, smdi, sMTL, SoftBart, soilassessment, spect, sphereML, SPONGE, squallms, sregsurvey, SSGL, ssr, stabiliser, stepPenal, studyStrap, SubCellBarCode, supersigs, survcompare, survivalSL, SVMDO, swag, text2emotion, TOP, TrafficBDE, transcriptR, tRigon, TSEAL, TSGS, varEst, VIMPS, waterquality, WaveletGBM, WaveletKNN, WaveletLSTM, WaveletML, waves, WMAP, writeAlizer, WRTDStidal, XAItest

Reverse suggests: AppliedPredictiveModeling, archetyper, autotab, aVirtualTwins, basemodels, biomod2, biplotEZ, breakDown, broom, bundle, butcher, cat2cat, cellity, ciu, clinpubr, cobalt, condvis2, corrselect, counterfactuals, DataSimilarity, discSurv, DNAshapeR, doParallel, doSNOW, easyalluvial, ENMTools, EventDetectR, FastImputation, fdm2id, fmeffects, fullRankMatrix, fuseMLR, GAparsimony, gcplyr, genefu, idm, iml, imputeR, Infusion, iprior, latrend, leakr, LimROTS, LKT, lulcc, metaforest, metamicrobiomeR, MLInterfaces, mlr, mlr3filters, mlr3spatiotempcv, mmb, moreparty, NeuralNetTools, NHSRdatasets, pcvr, pdp, pmml, posterior, pre, predfairness, purgeR, r2pmml, randomForestSRC, regsem, rmlnomogram, rScudo, sageR, SAMtool, SETA, sits, SlimR, SmartMeterAnalytics, spatialEco, spectacles, spFSR, SpoMAG, ssc, strip, subsemble, SuperLearner, SurvMetrics, TBSignatureProfiler, tornado, UBayFS, vetiver, vivid, waywiser, wconf

Reverse enhances: bestglm, prediction, vip