rpart: Recursive Partitioning and Regression Trees (original) (raw)

Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Version: 4.1.24
Priority: recommended
Depends: R (≥ 2.15.0), graphics, stats, grDevices
Suggests: survival
Published: 2025-01-07
DOI: 10.32614/CRAN.package.rpart
Author: Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl] (producer of the initial R port, maintainer 1999-2017)
Maintainer: Beth Atkinson
BugReports: https://github.com/bethatkinson/rpart/issues
License: GPL-2 | GPL-3
URL: https://github.com/bethatkinson/rpart,https://cran.r-project.org/package=rpart
NeedsCompilation: yes
Materials: README NEWS
In views: Environmetrics, MachineLearning, Survival
CRAN checks: rpart results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: ada, adabag, AntAngioCOOL, chemometrics, DidacticBoost, gamlss.add, GENEAclassify, GPLTR, iBST, jlctree, LearnPCA, LongCART, longRPart2, maptree, metacart, MplusTrees, MTPS, PSAgraphics, quint, RbcBook1, REEMtree, regclass, rpart.LAD, rpart.plot, rpartScore, spatstat.model, splinetree, stima, treeClust
Reverse imports: agghoo, aggTrees, alookr, autoBagging, autoScorecard, aVirtualTwins, baguette, binst, biomod2, bnclassify, Bodi, bst, BT, C443, canceR, citrus, classmap, collinear, creditmodel, CSMES, CTShiny, CTShiny2, CytoDx, deepdive, Dforest, DIscBIO, discSurv, div, dlookr, DMwR2, ebmc, evalITR, explore, EZtune, farr, featurefinder, FFTrees, flashlight, funkycells, gamclass, gdverse, geomod, glmnetr, GNOSIS, Harvest.Tree, Hmisc, HMP, htetree, ibmdbR, ImHD, ImML, ipred, isoboost, JOPS, JOUSBoost, lares, less, LongituRF, LTRCtrees, mcboost, mcca, MetabolomicsBasics, mice, mikropml, mlearning, MLInterfaces, Modeler, ModTools, monographaR, partykit, PDtoolkit, plotBart, ppsr, pre, PredPsych, predReliability, PSAboot, psica, qeML, Qindex, radiant.model, RaSEn, rbooster, RecordLinkage, ReSurv, rgnoisefilt, RISCA, rminer, rms, roseRF, rotationForest, RRBoost, RSDA, semtree, simputation, SMOTEWB, spc4sts, SSDM, statip, stream, SubgrpID, supclust, survivalSL, synthpop, tehtuner, TestsSymmetry, traineR, TSDT, utsf, validatesuggest, varbin, vcrpart, visTree, VSURF, xgrove
Reverse suggests: ALL, animint2, arsenal, aslib, AutoScore, bartCause, BatchExperiments, batchtools, bcf, BiodiversityR, bsnsing, butcher, CALIBERrfimpute, candisc, caret, caretEnsemble, catdata, caTools, censored, ceterisParibus, classifly, condvis2, counterfactuals, DAAG, DALEXtra, data.tree, decoupleR, dials, doParallel, doSNOW, DoubleML, DynTxRegime, e1071, easyalluvial, embed, evtree, fdm2id, finetune, flacco, flowml, fmeffects, FRESA.CAD, fscaret, FSelector, FSelectorRcpp, GenericML, ggdendro, ggplot2, ggResidpanel, globaltest, HandTill2001, HSAUR, HSAUR2, HSAUR3, iml, imputeGeneric, imputeR, insight, IRon, klaR, languageR, LocalControl, lulcc, MachineShop, MantaID, MatchIt, mboost, medflex, memoria, miesmuschel, mlexperiments, mlr, mlr3, mlr3batchmark, mlr3benchmark, mlr3fairness, mlr3fda, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3pipelines, mlr3resampling, mlr3spatial, mlr3spatiotempcv, mlr3summary, mlr3torch, mlr3tuning, mlr3tuningspaces, mlr3viz, mlrCPO, mlrintermbo, mlrMBO, mlsurvlrnrs, mosaicModel, naniar, nipalsMCIA, offsetreg, OpenML, paircompviz, parallelMap, parsnip, partools, pdp, pec, plotmo, pmml, purge, R2HTML, randomForestVIP, rattle, recipes, riskRegression, ROSE, sense, shapper, sharp, shipunov, sperrorest, stablelearner, stabm, StratifiedMedicine, subsemble, SuperLearner, superMICE, tidyrules, treeheatr, TrialEmulation, UBayFS, UBL, utiml, vetiver, visNetwork
Reverse enhances: d3r, dendextend, prediction, sfsmisc, vip

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