rpart (4.1-13)

8 users

Recursive Partitioning and Regression Trees.

http://cran.r-project.org/web/packages/rpart

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.

Maintainer: Beth Atkinson
Author(s): Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl] (producer of the initial R port, maintainer 1999-2017)

License: GPL-2 | GPL-3

Uses: survival
Reverse depends: ada, adabag, AntAngiCool, AntAngioCOOL, BCA, biomod2, bst, CADStat, caMassClass, chemometrics, ChemometricsWithR, classifly, clustTool, CompModSA, CORElearn, DAAG, dave, DidacticBoost, DMwR, dtree, fda.usc, gamclass, gamlss.add, GENEAclassify, GPLTR, iBST, ipred, longRPart, longRPart2, maptree, MatchIt, MergeGUI, metacart, multiPIM, NHEMOtree, partykit, PSAgraphics, quint, RandForestGUI, RecordLinkage, REEMtree, regclass, rminer, rpart.permutation, rpart.plot, rpartOrdinal, rpartScore, rrp, spatstat, spc4sts, sperrorest, SPOT, SQB, stima, survMisc, treeClust, TreeRank, TWIX, VSURF
Reverse suggests: arsenal, aslib, aurelius, BatchExperiments, batchtools, BiodiversityR, biomod2, CALIBERrfimpute, candisc, caret, caretEnsemble, caTools, ceterisParibus, ChemometricsWithR, classifly, crtests, DAAG, Daim, Design, dials, doParallel, doSNOW, dprep, DynTxRegime, e1071, emil, evtree, flacco, FRESA.CAD, fscaret, FSelector, FSelectorRcpp, gbm, ggdendro, ggplot2, GSIF, HandTill2001, Hmisc, HSAUR, HSAUR2, HSAUR3, iml, klaR, languageR, LocalControl, lulcc, MatchIt, mboost, medflex, metaheur, mlr, mlrCPO, mlrMBO, modelcf, ModelGood, mosaicModel, naniar, OpenML, partools, partykit, pdp, pec, PivotalR, plotmo, pmml, preprocomb, purge, R2HTML, rattle, RcmdrPlugin.BCA, recipes, riskRegression, rms, ROSE, smartdata, stablelearner, stranger, supclust, SuperLearner, TWIX, UBL, utiml, vip, visNetwork
Reverse enhances: d3r, dendextend, PivotalR, prediction, sfsmisc

Released 7 months ago.


29 previous versions

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Overall:

  4.0/5 (2 votes)

Documentation:

  3.5/5 (2 votes)

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