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caret
Classification and Regression Training
View on CRAN: Click
here
Download and install caret package within the R console
Install from CRAN:
install.packages("caret")
Install from Github:
library("remotes")
install_github("cran/caret") Install by package version:
library("remotes")
install_version("caret", "7.0-1") Attach the package and use:
library("caret")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-10-05
Latest Update: 2023-03-21
Description:
Misc functions for training and plotting classification and
regression models.
How to cite:
Max Kuhn (2007). caret: Classification and Regression Training. R package version 7.0-1, https://cran.r-project.org/web/packages/caret. Accessed 20 May. 2025.
Previous versions and publish date:
2.27 (2007-10-05 12:21), 2.29 (2007-10-09 21:57), 3.08 (2007-11-29 11:48), 3.12 (2008-02-27 19:03), 3.13 (2008-03-02 14:51), 3.16 (2008-03-28 15:58), 3.21 (2008-06-11 11:09), 3.25 (2008-07-12 10:29), 3.32 (2008-08-01 15:59), 3.37 (2008-09-05 19:19), 3.45 (2008-10-19 20:16), 3.51 (2008-12-06 09:29), 4.05 (2009-01-23 18:14), 4.06 (2009-01-25 18:51), 4.08 (2009-02-19 08:58), 4.10 (2009-03-27 09:10), 4.11 (2009-04-29 12:56), 4.12 (2009-05-08 13:04), 4.15 (2009-05-13 21:17), 4.16 (2009-05-24 10:35), 4.17 (2009-06-05 15:40), 4.18 (2009-06-18 09:28), 4.19 (2009-07-01 14:03), 4.20 (2009-08-25 10:05), 4.23 (2009-09-28 09:51), 4.24 (2009-09-30 20:56), 4.25 (2009-10-06 08:56), 4.26 (2009-10-28 18:13), 4.27 (2009-11-05 13:34), 4.30 (2009-11-09 22:26), 4.31 (2009-12-09 09:53), 4.33 (2010-03-01 21:54), 4.34 (2010-03-18 09:31), 4.36 (2010-04-18 19:37), 4.37 (2010-04-19 19:46), 4.39 (2010-05-16 18:15), 4.41 (2010-05-22 07:23), 4.42 (2010-06-11 11:04), 4.43 (2010-07-01 10:43), 4.44 (2010-07-24 22:09), 4.45 (2010-07-28 09:55), 4.47 (2010-08-05 19:05), 4.48 (2010-08-08 14:41), 4.49 (2010-08-09 16:21), 4.51 (2010-08-11 06:47), 4.53 (2010-08-17 20:47), 4.54 (2010-08-18 20:20), 4.57 (2010-08-26 08:43), 4.58 (2010-08-29 09:13), 4.59 (2010-09-01 22:05), 4.60 (2010-09-03 09:31), 4.61 (2010-09-06 09:04), 4.62 (2010-09-10 09:27), 4.63 (2010-09-29 10:00), 4.64 (2010-10-07 13:25), 4.65 (2010-10-09 09:30), 4.67 (2010-10-14 15:47), 4.68 (2010-10-23 09:43), 4.69 (2010-10-29 10:25), 4.70 (2010-11-10 12:17), 4.72 (2010-12-18 10:21), 4.73 (2010-12-22 09:58), 4.75 (2011-01-03 13:34), 4.76 (2011-01-08 09:31), 4.77 (2011-01-23 09:52), 4.78 (2011-02-09 11:11), 4.83 (2011-04-01 08:27), 4.85 (2011-04-03 09:42), 4.87 (2011-04-28 10:29), 4.88 (2011-04-30 14:41), 4.89 (2011-05-28 17:24), 4.90 (2011-06-02 07:34), 4.91 (2011-06-09 22:04), 4.92 (2011-07-06 20:56), 4.98 (2011-07-26 08:17), 4.99 (2011-09-02 06:54), 5.01-001 (2011-09-02 20:26), 5.02-011 (2011-09-19 20:40), 5.03-003 (2011-09-24 08:42), 5.04-007 (2011-09-27 05:32), 5.05.004 (2011-10-11 17:50), 5.07-001 (2011-10-23 12:09), 5.07-005 (2011-11-08 07:54), 5.07-024 (2011-11-14 20:01), 5.08-011 (2011-11-25 08:12), 5.09-006 (2011-12-07 11:14), 5.09-012 (2011-12-11 11:41), 5.10-13 (2012-01-04 07:21), 5.11-06 (2012-01-13 09:05), 5.12-04 (2012-01-15 13:02), 5.13-037 (2012-02-17 18:18), 5.13-20 (2012-02-06 22:06), 5.14-023 (2012-02-23 18:22), 5.15-023 (2012-03-20 06:52), 5.15-044 (2012-10-03 08:21), 5.15-045 (2012-11-27 07:56), 5.15-048 (2012-12-21 08:05), 5.15-052 (2013-01-17 22:47), 5.15-61 (2013-02-12 21:26), 5.16-04 (2013-05-17 16:14), 5.16-24 (2013-06-20 21:32), 5.17-7 (2013-08-05 18:57), 6.0-21 (2014-01-04 01:13), 6.0-22 (2014-01-18 07:29), 6.0-24 (2014-02-16 08:25), 6.0-29 (2014-05-29 00:41), 6.0-30 (2014-06-04 14:51), 6.0-34 (2014-08-15 07:21), 6.0-35 (2014-08-24 23:07), 6.0-37 (2014-11-10 22:54), 6.0-41 (2015-01-03 06:58), 6.0-47 (2015-05-06 18:00), 6.0-52 (2015-07-17 14:31), 6.0-57 (2015-10-11 10:37), 6.0-58 (2015-10-22 08:24), 6.0-62 (2015-11-23 17:35), 6.0-64 (2016-01-06 10:09), 6.0-68 (2016-04-11 09:06), 6.0-70 (2016-06-13 16:03), 6.0-71 (2016-08-05 11:53), 6.0-72 (2016-11-01 10:15), 6.0-73 (2016-11-10 08:18), 6.0-76 (2017-04-18 09:21), 6.0-77 (2017-09-07 23:15), 6.0-78 (2017-12-10 21:28), 6.0-79 (2018-03-29 22:31), 6.0-80 (2018-05-27 00:01), 6.0-81 (2018-11-20 11:10), 6.0-82 (2019-03-26 12:33), 6.0-83 (2019-04-18 23:40), 6.0-84 (2019-04-27 06:50), 6.0-85 (2020-01-07 21:20), 6.0-86 (2020-03-20 11:20), 6.0-88 (2021-05-15 08:20), 6.0-89 (2021-09-28 16:00), 6.0-90 (2021-10-09 17:30), 6.0-91 (2022-03-11 17:20), 6.0-92 (2022-04-19 08:52), 6.0-93 (2022-08-09 12:00), 6.0-94 (2023-03-21 20:30)
Other packages that cited caret R package
View caret citation profile
Other R packages that caret depends,
imports, suggests or enhances
Complete documentation for caret
Functions, R codes and Examples using
the caret R package
Some associated functions: BloodBrain . BoxCoxTrans . GermanCredit . Sacramento . as.matrix.confusionMatrix . avNNet . bag . bagEarth . bagFDA . calibration . caret-internal . caretFuncs . caretSBF . cars . classDist . confusionMatrix . confusionMatrix.train . cox2 . createDataPartition . densityplot.rfe . dhfr . diff.resamples . dotPlot . dotplot.diff.resamples . downSample . dummyVars . featurePlot . filterVarImp . findCorrelation . findLinearCombos . format.bagEarth . gafs.default . gafs_initial . getSamplingInfo . histogram.train . icr.formula . index2vec . knn3 . knnreg . learning_curve_dat . lift . maxDissim . mdrr . modelLookup . models . nearZeroVar . nullModel . oil . oneSE . panel.lift2 . panel.needle . pcaNNet . plot.gafs . plot.rfe . plot.train . plot.varImp.train . plotClassProbs . plotObsVsPred . plsda . postResample . pottery . prcomp.resamples . preProcess . predict.bagEarth . predict.gafs . predict.knn3 . predict.knnreg . predict.train . predictors . print.confusionMatrix . print.train . recall . resampleHist . resampleSummary . resamples . rfe . rfeControl . safs . safsControl . safs_initial . sbf . sbfControl . scat . segmentationData . sensitivity . spatialSign . summary.bagEarth . tecator . thresholder . train . trainControl . twoClassSim . update.safs . update.train . varImp.gafs . varImp . var_seq . xyplot.resamples .
Some associated R codes: BoxCoxTrans.R . aaa.R . adaptive.R . additive.R . avNNet.R . bag.R . bagEarth.R . bagFDA.R . basic2x2Stats.R . calibration.R . caret-package.R . caretTheme.R . classDist.R . classLevels.R . common_code.R . confusionMatrix.R . createDataPartition.R . createModel.R . createResample.R . diag.R . dotplot.varImp.train.R . dummyVar.R . expoTrans.R . extractPrediction.R . extractProb.R . featurePlot.R . filterVarImp.R . findCorrelation.R . findLinearCombos.R . format.bagEarth.R . gafs.R . getTrainPerf.R . ggplot.R . heldout.R . icr.R . knn3.R . knnreg.R . lattice.train.R . learning_curve.R . lift.R . maxDissim.R . misc.R . modelLookup.R . nearZeroVar.R . negPredValue.R . panel.needle.R . pcaNNet.R . plot.train.R . plot.varImp.train.R . plotClassProbs.R . plotObsVsPred.R . plsda.R . posPredValue.R . postResample.R . preProcess.R . prec_rec.R . predict.PLS.R . predict.train.R . predictionFunction.R . predictors.R . print.mars.R . print.train.R . print.varImp.train.R . probFunction.R . reg_sims.R . resampleHist.R . resampleSummary.R . resampleWrapper.R . resamples.R . rfe.R . safs.R . sampling.R . selectByFilter.R . selection.R . sensitivity.R . sortImp.R . spatialSign.R . specificity.R . splsda.R . suggestions.R . thresholder.R . train.default.R . trainControl.R . train_recipes.R . trim.R . twoClassSim.R . updates.R . varImp.R . varImp.train.R . workflows.R . Full caret package functions and examples
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