caret

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / caret

caret

v7.0-1
Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.caret
Task views
Analysis of Spatial Data, High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning
Reverse imports
8,504
Reverse depends
518

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Analysis of Spatial Data, High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning
Reverse imports
8,504
Reverse depends
518

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
7.0-1
License
GPL (>= 2)
Lifecycle
active
Needs compilation
yes
Reverse depends
518
Reverse imports
8,504
Last observed
2026-05-30
CRAN
cran.r-project.org/package=caret

수집 소스별 패키지 정보

1개 소스
CRAN
7.0-1
2026-05-30
License
GPL (>= 2)
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)
Needs compilation
yes
Reverse depends
518
Reverse imports
8,504
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 47개
PackageTypeSpec
ggplot2
CRAN · 7.0-1 · 2026-05-30
Dependsggplot2
lattice
CRAN · 7.0-1 · 2026-05-30
Dependslattice (>= 0.20)
e1071
CRAN · 7.0-1 · 2026-05-30
Importse1071
foreach
CRAN · 7.0-1 · 2026-05-30
Importsforeach
grDevices
CRAN · 7.0-1 · 2026-05-30
ImportsgrDevices
1 / 10

이 패키지를 쓰는 패키지

5개 표시전체 120개
PackageTypeSpec
adabag
5.1
CRAN · 2026-05-30
Dependscaret
AntAngioCOOL
1.2
CRAN · 2026-05-30
Dependscaret
AutoStepwiseGLM
0.2.0
CRAN · 2026-05-30
Dependscaret
ClassificationEnsembles
1.0.2
CRAN · 2026-05-30
Dependscaret
criticality
0.9.3
CRAN · 2026-05-30
Dependscaret
1 / 24

Reverse dependency summary

4 types
TypePackages
Depends14
Imports218
Suggests90
Enhances3

패키지 페이지

Reverse depends
32
Reverse imports
498
Reverse suggests
196
Reverse enhances
6
All links
429
Repository
CRAN
Version
7.0-1
Collected
2026-05-21 17:21:45
Package page
https://cran.r-project.org/web/packages/caret/index.html
DOI
10.32614/CRAN.package.caret
Citation
https://cran.r-project.org/web/packages/caret/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_caret.html
NEWS
https://cran.r-project.org/web/packages/caret/news.html
Reference HTML
https://cran.r-project.org/web/packages/caret/refman/caret.html
Reference PDF
https://cran.r-project.org/web/packages/caret/caret.pdf
Source package
https://cran.r-project.org/src/contrib/caret_7.0-1.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/caret
In views
HighPerformanceComputingMachineLearningSpatial
Page fields
Author
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]
BugReports
https://github.com/topepo/caret/issues
CRAN Checks
caret results
Citation
caret citation info
DOI
10.32614/CRAN.package.caret
In Views
HighPerformanceComputing , MachineLearning , Spatial
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Max Kuhn <mxkuhn at gmail.com>
Materials
NEWS
NeedsCompilation
yes
Old Sources
caret archive
Package Source
caret_7.0-1.tar.gz
Published
2024-12-10
Reference Manual
caret.html , caret.pdf
Reverse Depends
adabag , AntAngioCOOL , AutoStepwiseGLM , branchpointer , ClassificationEnsembles , criticality , LogisticEnsembles , MantaID , maPredictDSC , MLSeq , MRReg , MSclassifR , natstrat , NumericEnsembles , RandPro , stacking
Reverse Enhances
bestglm , prediction , vip
Reverse Imports
AdaSampling , aggTrees , ampir , animalcules , ASML , assignPOP , autoBagging , BG2 , bigPLScox , BioM2 , BioMoR , BLRShiny , BLRShiny2 , BMisc , bnviewer , bspcov , caretEnsemble , caretForecast , caretSDM , CAST , causalQual , CCI , cdgd , CEEMDANML , CimpleG , classifierplots , climodr , ClinicalUtilityRecal , CLRtools , CMShiny , coca , combat.enigma , CondiS , ConfusionTableR , ContaminatedMixt , CopulaCenR , Coxmos , CPSM , cramR , CrcBiomeScreen , CSCNet , CTShiny , CTShiny2 , CytoGLMM , cytominer , CytoProfile , daltoolbox , DamiaNN , DaMiRseq , datafsm , DebiasInfer , DeepLearningCausal , dfr , dissever , driveR , DSAM , dtComb , dtGAP , E2E , Ecume , EMgaussian , EpidigiR , EpiSemble , evalHTE , evalITR , fairness , FAST.R , FastJM , FeatureTerminatoR , FFTrees , flevr , FLORAL , FSinR , FunctanSNP , GB5mcPred , geomod , GINAX , glmtrans , GPCMlasso , GWAS.BAYES , HaploCatcher , hdcate , heimdall , HPiP , HTRX , hypervolume , icardaFIGSr , idiolect , iForecast , iimi , ImFoR , ImML , immunaut , imt , ImVol , iNETgrate , ipd , iSFun , jazzPanda , JMH , KCSKNNShiny , KCSNBShiny , kfa , KMEANS.KNN , KNNShiny , KnowSeq , l1spectral , LCCkNN , less , lilikoi , LncFinder , loadeR , LPRelevance , m2b , MAI , MAIT , mand , manydata , manymodelr , matrans , mbg , MBMethPred , mcca , metabCombiner , MetabolomicsBasics , metaEnsembleR , meteo , MethScope , mgwrsar , MicrobTiSDA , mikropml , mistyR , MLDataR , MLmorph , mlquantify , mlspatial , MNLR , mpae , MRFcov , mtlgmm , multiclassPairs , MUVR2 , mxnorm , NBShiny , NBShiny2 , NBShiny3 , nbTransmission , nestedcv , NeuralSens , noisemodel , NonProbEst , npcs , OddsPlotty , omu , OncoSubtype , OpEnHiMR , opImputation , oRaklE , outliers.ts.oga , PAGE , panelWranglR , pathMED , pciR , PDATK , PEAXAI , peptoolkit , POMA , pomodoro , postNet , powerPLS , pprof , preciseTAD , PredPsych , predtoolsTS , priorityelasticnet , pRoloc , promor , PSor , RadialVisGadgets , RankPCA , RaSEn , RCTrep , refitME , RelimpPCR , REMP , RFAE , RGCCA , RISCA , roclab , roseRF , rQSAR , RStoolbox , rTLsDeep , Rtropical , sae.projection , SAiVE , scAnnotatR , scGPS , scR , sentometrics , sgs , SHAPBoost , shinyr , skedastic , SLEMI , smdi , sMTL , SoftBart , soilassessment , spect , spexvb , sphereML , SPONGE , squallms , sregsurvey , SSGL , ssr , stabiliser , stepPenal , studyStrap , SubCellBarCode , supersigs , survcompare , survivalSL , SVMDO , swag , text2emotion , TOP , tradeoffaucdim , TrafficBDE , transcriptR , TransHDM , tRigon , TSEAL , TSGS , varEst , VIMPS , warmthcompetence , waterquality , WaveletGBM , WaveletKNN , WaveletLSTM , WaveletML , waves , wavFeatExt , WMAP , writeAlizer , WRTDStidal , XAItest
Reverse Suggests
AppliedPredictiveModeling , archetyper , autotab , aVirtualTwins , basemodels , biomod2 , biplotEZ , BORG , breakDown , broom , bundle , butcher , cat2cat , cellity , ciu , clinpubr , cobalt , condvis2 , corrselect , counterfactuals , DataSimilarity , discSurv , DNAshapeR , doParallel , doSNOW , DrData , easyalluvial , ENMTools , FastImputation , FastRet , fdm2id , fmeffects , fullRankMatrix , fuseMLR , futurize , GAparsimony , gcplyr , genefu , idm , iml , imputeR , Infusion , iprior , latrend , leakr , LimROTS , LKT , lulcc , metaforest , ml , MLInterfaces , mlr , mlr3filters , mlr3spatiotempcv , mlS3 , mmb , NeuralNetTools , NHSRdatasets , omicsTools , OpEnCAST , ordinalClust , pcvr , pdp , pmml , posterior , pre , predfairness , purgeR , r2pmml , randomForestSRC , regsem , RFGeneRank , rmlnomogram , rScudo , sageR , SAMtool , SETA , sits , SmartMeterAnalytics , SmCCNet , spatialEco , spectacles , spFSR , SpoMAG , ssc , strip , subsemble , SuperLearner , SurvMetrics , TBSignatureProfiler , tornado , UBayFS , unifiedml , varPro , vetiver , vivid , waywiser , wconf
URL
https://github.com/topepo/caret/
Version
7.0-1
Vignettes
A Short Introduction to the caret Package ( source , R code )
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
Version
7.0-1
Published
2024-12-10
DOI
10.32614/CRAN.package.caret
10.32614/CRAN.package.caret
Author
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]
https://orcid.org/0000-0003-2402-136X
Maintainer
Max Kuhn <mxkuhn at gmail.com>
BugReports
https://github.com/topepo/caret/issues
https://github.com/topepo/caret/issues
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
GPL-2GPL-3
URL
https://github.com/topepo/caret/
https://github.com/topepo/caret/
NeedsCompilation
yes
Citation
caret citation info
caret citation info
Materials
NEWS
NEWS
In Views
HighPerformanceComputing , MachineLearning , Spatial
HighPerformanceComputingMachineLearningSpatial
CRAN Checks
caret results
caret results
Reference Manual
caret.html , caret.pdf
caret.htmlcaret.pdf
Vignettes
A Short Introduction to the caret Package ( source , R code )
A Short Introduction to the caret PackagesourceR code
Package Source
caret_7.0-1.tar.gz
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
caret_7.0-1.zipcaret_7.0-1.zipcaret_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
caret_7.0-1.tgzcaret_7.0-1.tgzcaret_7.0-1.tgzcaret_7.0-1.tgz
Old Sources
caret archive
caret archive
Reverse Depends
adabag , AntAngioCOOL , AutoStepwiseGLM , branchpointer , ClassificationEnsembles , criticality , LogisticEnsembles , MantaID , maPredictDSC , MLSeq , MRReg , MSclassifR , natstrat , NumericEnsembles , RandPro , stacking
adabagAntAngioCOOLAutoStepwiseGLMbranchpointerClassificationEnsemblescriticalityLogisticEnsemblesMantaIDmaPredictDSCMLSeqMRRegMSclassifRnatstratNumericEnsemblesRandProstacking
Reverse Imports
AdaSampling , aggTrees , ampir , animalcules , ASML , assignPOP , autoBagging , BG2 , bigPLScox , BioM2 , BioMoR , BLRShiny , BLRShiny2 , BMisc , bnviewer , bspcov , caretEnsemble , caretForecast , caretSDM , CAST , causalQual , CCI , cdgd , CEEMDANML , CimpleG , classifierplots , climodr , ClinicalUtilityRecal , CLRtools , CMShiny , coca , combat.enigma , CondiS , ConfusionTableR , ContaminatedMixt , CopulaCenR , Coxmos , CPSM , cramR , CrcBiomeScreen , CSCNet , CTShiny , CTShiny2 , CytoGLMM , cytominer , CytoProfile , daltoolbox , DamiaNN , DaMiRseq , datafsm , DebiasInfer , DeepLearningCausal , dfr , dissever , driveR , DSAM , dtComb , dtGAP , E2E , Ecume , EMgaussian , EpidigiR , EpiSemble , evalHTE , evalITR , fairness , FAST.R , FastJM , FeatureTerminatoR , FFTrees , flevr , FLORAL , FSinR , FunctanSNP , GB5mcPred , geomod , GINAX , glmtrans , GPCMlasso , GWAS.BAYES , HaploCatcher , hdcate , heimdall , HPiP , HTRX , hypervolume , icardaFIGSr , idiolect , iForecast , iimi , ImFoR , ImML , immunaut , imt , ImVol , iNETgrate , ipd , iSFun , jazzPanda , JMH , KCSKNNShiny , KCSNBShiny , kfa , KMEANS.KNN , KNNShiny , KnowSeq , l1spectral , LCCkNN , less , lilikoi , LncFinder , loadeR , LPRelevance , m2b , MAI , MAIT , mand , manydata , manymodelr , matrans , mbg , MBMethPred , mcca , metabCombiner , MetabolomicsBasics , metaEnsembleR , meteo , MethScope , mgwrsar , MicrobTiSDA , mikropml , mistyR , MLDataR , MLmorph , mlquantify , mlspatial , MNLR , mpae , MRFcov , mtlgmm , multiclassPairs , MUVR2 , mxnorm , NBShiny , NBShiny2 , NBShiny3 , nbTransmission , nestedcv , NeuralSens , noisemodel , NonProbEst , npcs , OddsPlotty , omu , OncoSubtype , OpEnHiMR , opImputation , oRaklE , outliers.ts.oga , PAGE , panelWranglR , pathMED , pciR , PDATK , PEAXAI , peptoolkit , POMA , pomodoro , postNet , powerPLS , pprof , preciseTAD , PredPsych , predtoolsTS , priorityelasticnet , pRoloc , promor , PSor , RadialVisGadgets , RankPCA , RaSEn , RCTrep , refitME , RelimpPCR , REMP
AdaSamplingaggTreesampiranimalculesASMLassignPOPautoBaggingBG2bigPLScoxBioM2BioMoRBLRShinyBLRShiny2BMiscbnviewerbspcovcaretEnsemblecaretForecastcaretSDMCAST
Reverse Suggests
AppliedPredictiveModeling , archetyper , autotab , aVirtualTwins , basemodels , biomod2 , biplotEZ , BORG , breakDown , broom , bundle , butcher , cat2cat , cellity , ciu , clinpubr , cobalt , condvis2 , corrselect , counterfactuals , DataSimilarity , discSurv , DNAshapeR , doParallel , doSNOW , DrData , easyalluvial , ENMTools , FastImputation , FastRet , fdm2id , fmeffects , fullRankMatrix , fuseMLR , futurize , GAparsimony , gcplyr , genefu , idm , iml , imputeR , Infusion , iprior , latrend , leakr , LimROTS , LKT , lulcc , metaforest , ml , MLInterfaces , mlr , mlr3filters , mlr3spatiotempcv , mlS3 , mmb , NeuralNetTools , NHSRdatasets , omicsTools , OpEnCAST , ordinalClust , pcvr , pdp , pmml , posterior , pre , predfairness , purgeR , r2pmml , randomForestSRC , regsem , RFGeneRank , rmlnomogram , rScudo , sageR , SAMtool , SETA , sits , SmartMeterAnalytics , SmCCNet , spatialEco , spectacles , spFSR , SpoMAG , ssc , strip , subsemble , SuperLearner , SurvMetrics , TBSignatureProfiler , tornado , UBayFS , unifiedml , varPro , vetiver , vivid , waywiser , wconf
AppliedPredictiveModelingarchetyperautotabaVirtualTwinsbasemodelsbiomod2biplotEZBORGbreakDownbroombundlebutchercat2catcellityciuclinpubrcobaltcondvis2corrselectcounterfactuals
Reverse Enhances
bestglm , prediction , vip
bestglmpredictionvip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"caret.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/refman/caret.html"},{"label":"caret.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/caret.pdf"},{"label":"A Short Introduction to the caret Package","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/vignettes/caret.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/vignettes/caret.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/vignettes/caret.R"}]
Text
Reference manual: caret.html , caret.pdf Vignettes: A Short Introduction to the caret Package ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"caret_7.0-1.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/caret_7.0-1.tar.gz"},{"label":"caret_7.0-1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/caret_7.0-1.zip"},{"label":"caret_7.0-1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/caret_7.0-1.zip"},{"label":"caret_7.0-1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/caret_7.0-1.zip"},{"label":"caret_7.0-1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/caret_7.0-1.tgz"},{"label":"caret_7.0-1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/caret_7.0-1.tgz"},{"label":"caret_7.0-1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/caret_7.0-1.tgz"},{"label":"caret_7.0-1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/caret_7.0-1.tgz"},{"label":"caret archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/caret"}]
Text
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 dependencies
Heading
Reverse dependencies
Links
[{"label":"adabag","section":"","type":"","url":"https://cran.r-project.org/web/packages/adabag/index.html"},{"label":"AntAngioCOOL","section":"","type":"","url":"https://cran.r-project.org/web/packages/AntAngioCOOL/index.html"},{"label":"AutoStepwiseGLM","section":"","type":"","url":"https://cran.r-project.org/web/packages/AutoStepwiseGLM/index.html"},{"label":"branchpointer","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/branchpointer.html"},{"label":"ClassificationEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/ClassificationEnsembles/index.html"},{"label":"criticality","section":"","type":"","url":"https://cran.r-project.org/web/packages/criticality/index.html"},{"label":"LogisticEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/LogisticEnsembles/index.html"},{"label":"MantaID","section":"","type":"","url":"https://cran.r-project.org/web/packages/MantaID/index.html"},{"label":"maPredictDSC","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/maPredictDSC.html"},{"label":"MLSeq","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/MLSeq.html"},{"label":"MRReg","section":"","type":"","url":"https://cran.r-project.org/web/packages/MRReg/index.html"},{"label":"MSclassifR","section":"","type":"","url":"https://cran.r-project.org/web/packages/MSclassifR/index.html"},{"label":"natstrat","section":"","type":"","url":"https://cran.r-project.org/web/packages/natstrat/index.html"},{"label":"NumericEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/NumericEnsembles/index.html"},{"label":"RandPro","section":"","type":"","url":"https://cran.r-project.org/web/packages/RandPro/index.html"},{"label":"stacking","section":"","type":"","url":"https://cran.r-project.org/web/packages/stacking/index.html"},{"label":"AdaSampling","section":"","type":"","url":"https://cran.r-project.org/web/packages/AdaSampling/index.html"},{"label":"aggTrees","section":"","type":"","url":"https://cran.r-project.org/web/packages/aggTrees/index.html"},{"label":"ampir","section":"","type":"","url":"https://cran.r-project.org/web/packages/ampir/index.html"},{"label":"animalcules","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/animalcules.html"}]
Text
Reverse depends: adabag , AntAngioCOOL , AutoStepwiseGLM , branchpointer , ClassificationEnsembles , criticality , LogisticEnsembles , MantaID , maPredictDSC , MLSeq , MRReg , MSclassifR , natstrat , NumericEnsembles , RandPro , stacking Reverse imports: AdaSampling , aggTrees , ampir , animalcules , ASML , assignPOP , autoBagging , BG2 , bigPLScox , BioM2 , BioMoR , BLRShiny , BLRShiny2 , BMisc , bnviewer , bspcov , caretEnsemble , caretForecast , caretSDM , CAST , causalQual , CCI , cdgd , CEEMDANML , CimpleG , classifierplots , climodr , ClinicalUtilityRecal , CLRtools , CMShiny , coca , combat.enigma , CondiS , ConfusionTableR , ContaminatedMixt , CopulaCenR , Coxmos , CPSM , cramR , CrcBiomeScreen , CSCNet , CTShiny , CTShiny2 , CytoGLMM , cytominer , CytoProfile , daltoolbox , DamiaNN , DaMiRseq , datafsm , DebiasInfer , DeepLearningCausal , dfr , dissever , driveR , DSAM , dtComb , dtGAP , E2E , Ecume , EMgaussian , EpidigiR , EpiSemble , evalHTE , evalITR , fairness , FAST.R , FastJM , FeatureTerminatoR , FFTrees , flevr , FLORAL , FSinR , FunctanSNP , GB5mcPred , geomod , GINAX , glmtrans , GPCMlasso , GWAS.BAYES , HaploCatcher , hdcate , heimdall , HPiP , HTRX , hypervolume , icardaFIGSr , idiolect , iForecast , iimi , ImFoR , ImML , immunaut , imt , ImVol , iNETgrate , ipd , iSFun , jazzPanda , JMH , KCSKNNShiny , KCSNBShiny , kfa , KMEANS.KNN , KNNShiny , KnowSeq , l1spectral , LCCkNN , less , lilikoi , LncFinder , loadeR , LPRelevance , m2b , MAI , MAIT , mand , manydata , manymodelr , matrans , mbg , MBMethPred , mcca , metabCombiner , MetabolomicsBasics , metaEnsembleR , meteo , MethScope , mgwrsar , MicrobTiSDA , mikropml , mistyR , MLDataR , MLmorph , mlquantify , mlspatial , MNLR , mpae , MRFcov , mtlgmm , multiclassPairs , MUVR2 , mxnorm , NBShiny , NBShiny2 , NBShiny3 , nbTransmission , nestedcv , NeuralSens , noisemodel , NonProbEst , npcs , OddsPlotty , omu , OncoSubtype , OpEnHiMR , opImputation , oRaklE , outliers.ts.oga , PAGE , panelWranglR
Linking
Heading
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A Short Introduction to the caret PackagesourceR code
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Analysis of Spatial Data · 2026-05-30High-Performance and Parallel Computing with R · 2026-05-30Machine Learning & Statistical Learning · 2026-05-30