rpart: Recursive Partitioning and Regression Trees

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: 4.1-15
Priority: recommended
Depends: R (≥ 2.15.0), graphics, stats, grDevices
Suggests: survival
Published: 2019-04-12
Author: Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl] (producer of the initial R port, maintainer 1999-2017)
Maintainer: Beth Atkinson <atkinson at mayo.edu>
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 ChangeLog
In views: Environmetrics, MachineLearning, Multivariate, Survival
CRAN checks: rpart results

Downloads:

Reference manual: rpart.pdf
Vignettes: Introduction to Rpart
User Written Split Functions
Package source: rpart_4.1-15.tar.gz
Windows binaries: r-devel: rpart_4.1-15.zip, r-release: rpart_4.1-15.zip, r-oldrel: rpart_4.1-15.zip
macOS binaries: r-release: rpart_4.1-15.tgz, r-oldrel: rpart_4.1-15.tgz
Old sources: rpart archive

Reverse dependencies:

Reverse depends: ada, adabag, AntAngioCOOL, chemometrics, DidacticBoost, DStree, dtree, gamlss.add, GENEAclassify, GPLTR, iBST, jlctree, LongCART, longRPart2, maboost, maptree, metacart, MplusTrees, MTPS, multiPIM, PSAgraphics, quint, RbcBook1, REEMtree, regclass, rpart.LAD, rpart.plot, rpart.utils, rpartScore, spatstat, spc4sts, splinetree, SQB, stima, treeClust
Reverse imports: alookr, autoBagging, aVirtualTwins, baguette, BCA, binst, Biocomb, biomod2, BioSeqClass, bnclassify, bst, C443, CADStat, canceR, chemmodlab, CORElearn, creditmodel, CSMES, CTShiny, CytoDx, deepdive, Dforest, dlookr, DMwR, DMwR2, ebmc, explore, EZtune, fastAdaboost, fdm2id, featurefinder, flashlight, FSinR, gencve, Harvest.Tree, Hmisc, HMP, hybridEnsemble, ibmdbR, ipred, isoboost, JOUSBoost, LTRCtrees, mcca, MetabolomicsBasics, MetaClean, mfe, MLInterfaces, mnj, Modeler, NoiseFiltersR, OptimClassifier, partykit, pre, predictoR, PredPsych, predReliability, psica, radiant.model, RaSEn, RecordLinkage, regressoR, rminer, rms, rotationForest, semtree, simputation, smartR, soilassessment, SSDM, statip, SubgrpID, supclust, synthpop, traineR, TSDT, varbin, vcrpart, visTree, VSURF
Reverse suggests: ALL, arsenal, aslib, aurelius, bartCause, BatchExperiments, batchtools, BiodiversityR, butcher, candisc, caret, caretEnsemble, catdata, caTools, ceterisParibus, ChemometricsWithR, classifly, compboost, crtests, DAAG, DALEXtra, data.tree, dials, doParallel, doSNOW, DriveML, DynTxRegime, e1071, embed, evtree, flacco, FRESA.CAD, fscaret, FSelector, FSelectorRcpp, ggdendro, ggplot2, ggResidpanel, globaltest, GSIF, HandTill2001, HSAUR, HSAUR2, HSAUR3, iml, imputeR, klaR, languageR, LocalControl, lulcc, MachineShop, MatchIt, mboost, medflex, memoria, mice, mlr, mlr3, mlr3filters, mlr3pipelines, mlr3proba, mlr3tuning, mlr3viz, mlrCPO, mlrMBO, ModelGood, mosaicModel, mosmafs, naniar, OpenML, paircompviz, parallelMap, parsnip, partools, pdp, pec, PivotalR, plotmo, pmml, purge, R2HTML, rattle, recipes, riskRegression, ROSE, shapper, shipunov, smartdata, sperrorest, stablelearner, StratifiedMedicine, SuperLearner, tidyrules, UBL, utiml, vip, visNetwork
Reverse enhances: d3r, dendextend, prediction, sfsmisc

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