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randomForest: Breiman and Cutlers Random Forests for Classification and Regression

Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <doi:10.1023/A:1010933404324>.

Version: 4.7-1.2
Depends: R (≥ 4.1.0), stats
Suggests: RColorBrewer, MASS
Published: 2024-09-22
DOI: 10.32614/CRAN.package.randomForest
Author: Leo Breiman [aut] (Fortran original), Adele Cutler [aut] (Fortran original), Andy Liaw [aut, cre] (R port), Matthew Wiener [aut] (R port)
Maintainer: Andy Liaw <andy_liaw at merck.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.stat.berkeley.edu/~breiman/RandomForests/
NeedsCompilation: yes
Citation: randomForest citation info
Materials: NEWS
In views: Environmetrics, MachineLearning, MissingData
CRAN checks: randomForest results

Documentation:

Reference manual: randomForest.pdf

Downloads:

Package source: randomForest_4.7-1.2.tar.gz
Windows binaries: r-devel: randomForest_4.7-1.2.zip, r-release: randomForest_4.7-1.2.zip, r-oldrel: randomForest_4.7-1.2.zip
macOS binaries: r-release (arm64): randomForest_4.7-1.2.tgz, r-oldrel (arm64): randomForest_4.7-1.2.tgz, r-release (x86_64): randomForest_4.7-1.2.tgz, r-oldrel (x86_64): randomForest_4.7-1.2.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: alookr, bartMachine, conformalClassification, EPX, evaluomeR, ggRandomForests, interpretR, JQL, MixRF, ModelMap, MPV, quantregForest, regclass, rfVarImpOOB, rfviz, SpatialML, UBL, varSelRF, vtype
Reverse imports: aLFQ, aloom, aRtsy, ARTtransfer, assignPOP, ATACseqQC, AutoScore, aVirtualTwins, BAGofT, banter, BASiNET, BASiNETEntropy, binomialRF, biosigner, BPRMeth, BWGS, C443, CALIBERrfimpute, cem, CERFIT, CiteFuse, classmap, CompMix, CondIndTests, countSTAR, cpfa, cpt, CRE, crisprScore, curvir, cytofQC, daltoolbox, DaMiRseq, DeepLearningCausal, dendroTools, dmlalg, DMTL, driveR, easyalluvial, ebmc, EFS, EnsembleBase, EpiSemble, ExpImage, FateID, FeatureTerminatoR, FFTrees, ForestDisc, FSelector, fuzzyforest, gamclass, GB5mcPred, geomod, ggscidca, GIC, GiniDistance, gINTomics, GMDH2, GOexpress, HaploCatcher, iCheck, iimi, ImHD, ImML, imputeMissings, ipd, ivitr, kernelFactory, KnowSeq, less, LINselect, LongituRF, LSDirf, m2b, MBMethPred, metaEnsembleR, MethPed, microbial, mikropml, missForest, mlearning, mlmts, mlquantify, Modeler, ModTools, Moonlight2R, MoonlightR, MSclassifR, mslp, mt, MUVR2, NCSampling, needmining, nempi, NicheBarcoding, nlcv, nlnet, nonet, nonlinearICP, nproc, omu, OncoSubtype, OOBCurve, OpEnHiMR, optBiomarker, optimalFlow, ORFhunteR, ORION, OTE, PAA, pathwayTMB, pdi, permimp, pheble, PheVis, POMA, pomodoro, POPInf, practicalSigni, preciseTAD, PredPsych, pRF, pRoloc, psica, RaceID, randomForestExplainer, RandomForestsGLS, randomForestVIP, rasclass, RaSEn, RclusTool, RegEnrich, REPTILE, RFclust, RFlocalfdr, rfPermute, rgnoisefilt, riAFTBART, Ricrt, rjaf, rminer, RPtests, rQSAR, RSDA, RTextTools, Rtrack, scmap, scorecardModelUtils, scReClassify, SDMtune, seer, sigInt, signeR, simputation, smdi, soilassessment, sovereign, spikeslab, spm, spm2, SPONGE, SSDM, Sstack, stablelearner, statTarget, statVisual, steprf, STGS, SweepDiscovery, SynDI, synthesizer, synthpop, tashu, TIGERr, traineR, tRigon, TriMatch, TSPred, visaOTR, visualpred, vita, VMDML, VSURF, WaveletRF, waves, WMAP, xLLiM
Reverse suggests: A3, acumos, auditor, AzureContainers, BatchExperiments, BiodiversityR, biomod2, Boruta, breakDown, butcher, caret, caretEnsemble, CAST, cat2cat, ceterisParibus, CMA, cola, condiments, condvis2, ConfusionTableR, conTree, cornet, counterfactuals, creditmodel, cvms, CytoMethIC, DAAG, dismo, dissever, dlookr, doMPI, dsld, dyn, e1071, ecospat, ecr, ENMTools, evalITR, ExplainPrediction, explore, FAST.R, fastml, fdm2id, featurefinder, flowml, foreach, forecastML, forestControl, forestError, FRESA.CAD, fscaret, FSelectorRcpp, gfoRmula, ggResidpanel, GROAN, hdcate, HPiP, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, ipred, IRon, ivygapSE, localICE, localModel, lolR, lulcc, MachineShop, MatchIt, mboost, memoria, metamicrobiomeR, mice, MicrobiotaProcess, microeco, MLInterfaces, MLPUGS, mlr, mlrCPO, mlrintermbo, mlrMBO, modeltime, mosaicModel, multivarious, nestedcv, nlpred, oosse, OpenML, origami, pander, parameters, parcats, party, partykit, pctax, pdp, performance, performanceEstimation, PhysicalActivity, pmml, posterior, probably, purge, qeML, r2pmml, rattle, raw, riskRegression, RLT, rSAFE, RStoolbox, seAMLess, see, sentometrics, sesame, shapper, shipunov, sits, SmartMeterAnalytics, SSLR, stars, stratamatch, strip, subsemble, SuperLearner, superMICE, swag, text, tidyAML, tidyfit, tidypredict, tornado, tree.interpreter, treeshap, triplot, TunePareto, utiml, vivid, vivo, webSDM, wsrf, xgrove, yaImpute
Reverse enhances: klaR, vip

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.