Version: 4.7-1.2

Depends: R (≥ 4.1.0), stats

Suggests: RColorBrewer, MASS

Published: 2024年09月22日

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

Reference manual: randomForest.html , randomForest.pdf

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 depends: alookr, bartMachine, btml, ClassificationEnsembles, conformalClassification, EPX, evaluomeR, interpretR, JQL, LogisticEnsembles, MiscMath, MixRF, ModelMap, mvs, NumericEnsembles, quantregForest, regclass, rfVarImpOOB, rfviz, SpatialML, tgml, varSelRF, vtype

Reverse imports: aLFQ, aloom, aRtsy, ARTtransfer, assignPOP, ATACseqQC, AutoScore, aVirtualTwins, BAGofT, banter, BASiNET, BASiNETEntropy, binomialRF, biosigner, BWGS, C443, CALIBERrfimpute, cem, CERFIT, CiteFuse, classmap, CompMix, CondIndTests, consensusOV, countSTAR, cpfa, cpt, CRE, crisprScore, crupR, curvir, CytoProfile, daltoolbox, DaMiRseq, dendroTools, dmlalg, DMTL, driveR, DspikeIn, e2tree, easyalluvial, ebmc, EpiSemble, FateID, FeatureTerminatoR, ForestDisc, FSelector, fuzzyforest, gamclass, GB5mcPred, geomod, ggscidca, GIC, GiniDistance, GMDH2, GOexpress, HaploCatcher, iCheck, iimi, ImML, imputeMissings, InterpolateR, ipd, IPMRF, ivitr, kernelFactory, KnowSeq, less, LINselect, LongituRF, LSDirf, m2b, MBMethPred, metaEnsembleR, MethPed, microbial, MicrobTiSDA, mikropml, missForest, mlearning, MLmorph, mlmts, mlquantify, MLSP, mlspatial, Modeler, ModTools, Moonlight2R, MoonlightR, MRTAnalysis, MSclassifR, mslp, mt, MUVR2, NCSampling, nempi, NicheBarcoding, nlcv, nlnet, nonet, nonlinearICP, nproc, omu, OncoSubtype, OOBCurve, OpEnHiMR, OPL, optBiomarker, optimalFlow, ORFhunteR, OTE, PAA, PAGE, pdi, permimp, PheVis, POMA, pomodoro, POPInf, practicalSigni, preciseTAD, PredPsych, pRF, pRoloc, psica, RaceID, randomForestExplainer, RandomForestsGLS, randomForestVIP, RaSEn, reddPrec, RegEnrich, REPTILE, RFclust, RFlocalfdr, rfPermute, RFplus, rgnoisefilt, RHC, riAFTBART, Ricrt, rjaf, rminer, RPtests, rQSAR, RSDA, RTextTools, Rtrack, sae.projection, scmap, scorecardModelUtils, scReClassify, SDMtune, seer, shinyr, sigInt, signeR, simputation, sits, smdi, SMMAL, soilassessment, sovereign, sphereML, spikeslab, spm, spm2, SPONGE, SSDM, Sstack, stablelearner, statTarget, steprf, suRface.analytics, SweepDiscovery, SynDI, synthpop, tashu, TIGERr, traineR, tRigon, TriMatch, TSPred, tspredit, visaOTR, visualpred, vita, VMDML, VSURF, WaveletRF, waves, WMAP, XAItest, xLLiM

Reverse suggests: acumos, auditor, AzureContainers, BatchExperiments, BiodiversityR, biomod2, BioMoR, Boruta, breakDown, butcher, caret, caretEnsemble, CAST, cat2cat, ceterisParibus, climodr, CMA, cola, condiments, condvis2, ConfusionTableR, conTree, cornet, counterfactuals, cramR, creditmodel, cvms, CytoMethIC, DAAG, DeepLearningCausal, DImodelsVis, dismo, dissever, dlookr, doMPI, dsld, dyn, e1071, E2E, ecospat, ecr, ENMTools, EpidigiR, evalITR, explore, fairmetrics, FAST.R, fdm2id, flowml, foreach, forecastML, forestControl, forestError, FRESA.CAD, FSelectorRcpp, FSinR, gfoRmula, ggResidpanel, GROAN, hdcate, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, immApex, ipred, IRon, ivygapSE, lionfish, localICE, localModel, lolR, lulcc, MachineShop, MatchIt, mboost, memoria, metamicrobiomeR, mice, MicrobiotaProcess, microeco, MLInterfaces, MLPUGS, mlr, mlrCPO, mlrintermbo, mlrMBO, modeltime, mrIML, multiDEGGs, multivarious, nestedcv, nlpred, notameStats, oosse, OpenML, origami, ORION, pander, parameters, parcats, party, partykit, pathMED, pctax, pdp, performance, PhysicalActivity, pmml, posterior, pre, probably, purge, qeML, r2pmml, rattle, raw, riskRegression, RLT, rmlnomogram, rSAFE, RStoolbox, see, sentometrics, sesame, shapper, shipunov, SmartMeterAnalytics, spect, SpoMAG, stars, StatMatch, stratamatch, strip, subsemble, SuperLearner, swag, TBSignatureProfiler, text, tidyAML, tidyfit, tidypredict, tidysynthesis, tornado, tree.interpreter, treeshap, TunePareto, unifiedml, utsf, veesa, vivid, vivo, webSDM, writeAlizer, wsrf, xCell2, xgrove, yaImpute

Reverse enhances: klaR, vip