4.7-1.2 by Andy Liaw, 10 months ago
https://www.stat.berkeley.edu/~breiman/RandomForests/
Browse source code at https://github.com/cran/randomForest
Authors: Leo Breiman [aut] (Fortran original) , Adele Cutler [aut] (Fortran original) , Andy Liaw [aut, cre] (R port) , Matthew Wiener [aut] (R port)
Documentation:
PDF Manual
GPL (>= 2) license
Depends on stats
Suggests RColorBrewer, MASS
Imported by ARTtransfer, BAGofT, BASiNET, BASiNETEntropy, BWGS, C443, CALIBERrfimpute, CERFIT, CRE, CompMix, CondIndTests, CytoProfile, DMTL, DeepLearningCausal, EpiSemble, FFTrees, FSelector, FateID, FeatureTerminatoR, ForestDisc, GB5mcPred, GIC, GMDH2, GiniDistance, HaploCatcher, ImHD, ImML, InterpolateR, LINselect, LSDirf, LongituRF, MBMethPred, MSclassifR, MUVR2, ModTools, Modeler, NCSampling, NicheBarcoding, OOBCurve, OPL, ORION, OTE, OncoSubtype, OpEnHiMR, POPInf, PheVis, PredPsych, REPTILE, RFclust, RFlocalfdr, RFplus, RHC, RPtests, RSDA, RTextTools, RaSEn, RaceID, RandomForestsGLS, Ricrt, Rtrack, SDMtune, SSDM, Sstack, SweepDiscovery, SynDI, TIGERr, TSPred, TriMatch, VMDML, VSURF, WMAP, WaveletRF, aLFQ, aRtsy, aVirtualTwins, aloom, assignPOP, banter, binomialRF, cem, classmap, countSTAR, cpfa, cpt, curvir, daltoolbox, dendroTools, dmlalg, driveR, e2tree, easyalluvial, ebmc, fuzzyforest, gamclass, geomod, ggscidca, iimi, imputeMissings, ipd, ivitr, kernelFactory, less, m2b, metaEnsembleR, microbial, mikropml, missForest, mlearning, mlmts, mlquantify, mt, nlcv, nlnet, nonet, nonlinearICP, nproc, omu, optBiomarker, pRF, pathwayTMB, pdi, permimp, pomodoro, practicalSigni, psica, rQSAR, randomForestExplainer, randomForestVIP, reddPrec, rfPermute, rgnoisefilt, riAFTBART, rjaf, rminer, sae.projection, scorecardModelUtils, seer, shinyr, sigInt, simputation, sits, smdi, soilassessment, sovereign, sphereML, spikeslab, spm, spm2, stablelearner, steprf, synthpop, tRigon, tashu, traineR, tspredit, visaOTR, visualpred, vita, xLLiM.
Depended on by ClassificationEnsembles, EPX, JQL, LogisticEnsembles, MiscMath, MixRF, ModelMap, NumericEnsembles, SpatialML, alookr, bartMachine, btml, conformalClassification, interpretR, mvs, quantregForest, regclass, rfVarImpOOB, rfviz, tgml, varSelRF, vtype.
Suggested by AzureContainers, BatchExperiments, BiodiversityR, Boruta, CAST, ConfusionTableR, DAAG, ENMTools, FAST.R, FRESA.CAD, FSelectorRcpp, GROAN, HSAUR, HSAUR2, HSAUR3, ICEbox, IRon, MLPUGS, MachineShop, MatchIt, OpenML, PhysicalActivity, RLT, RStoolbox, SmartMeterAnalytics, SpoMAG, StatMatch, SuperLearner, TunePareto, acumos, auditor, biomod2, breakDown, butcher, caret, caretEnsemble, cat2cat, ceterisParibus, climodr, conTree, condvis2, cornet, counterfactuals, cramR, creditmodel, cvms, dismo, dissever, dlookr, doMPI, dsld, dyn, e1071, ecospat, ecr, evalITR, explore, fairmetrics, fdm2id, flowml, foreach, forecastML, forestControl, forestError, fscaret, gfoRmula, ggResidpanel, hdcate, iBreakDown, iml, ipred, lionfish, localICE, localModel, lolR, lulcc, mboost, memoria, metamicrobiomeR, mice, microeco, mlr, mlrCPO, mlrMBO, mlrintermbo, modeltime, multivarious, nestedcv, nlpred, oosse, origami, pander, parameters, parcats, party, partykit, pctax, pdp, performance, pmml, posterior, probably, purge, qeML, r2pmml, rSAFE, rattle, raw, riskRegression, rmlnomogram, seAMLess, see, sentometrics, shapper, shipunov, spect, stars, stratamatch, strip, subsemble, superMICE, swag, text, tidyAML, tidyfit, tidypredict, tornado, tree.interpreter, treeshap, triplot, veesa, vivid, vivo, webSDM, wsrf, xgrove, yaImpute.