4.7-1.1 by Andy Liaw, 8 months ago
https://www.stat.berkeley.edu/~breiman/RandomForests/
Browse source code at https://github.com/cran/randomForest
Authors: Fortran original by Leo Breiman and Adele Cutler , R port by Andy Liaw and Matthew Wiener.
Documentation:
PDF Manual
GPL (>= 2) license
Depends on stats
Suggests RColorBrewer, MASS
Imported by AutoScore, BAGofT, BASiNET, BASiNETEntropy, BWGS, Biocomb, C443, CALIBERrfimpute, CERFIT, CRE, CausalKinetiX, CondIndTests, DMLLZU, DMTL, EFS, EnsembleBase, EpiSemble, ExpImage, FFTrees, FSelector, FateID, FeatureTerminatoR, ForestDisc, GIC, GMDH2, GiniDistance, LINselect, LongituRF, MBMethPred, ModTools, Modeler, NCSampling, NicheBarcoding, OOBCurve, ORION, OTE, ParallelDSM, PheVis, PredPsych, REPTILE, RFclust, RFmerge, RPtests, RSDA, RTextTools, RaSEn, RaceID, RandomForestsGLS, RclusTool, Rtrack, SDMtune, SPOT, SSDM, STGS, Sstack, SynDI, TIGERr, TSPred, TriMatch, VMDML, VSURF, WaveletRF, aLFQ, aRtsy, aVirtualTwins, assignPOP, banter, binomialRF, biomod2, ccdf, cem, chemmodlab, classmap, cpt, dendroTools, dmlalg, driveR, easyalluvial, ebmc, ecospat, enmSdmX, feamiR, foster, fuzzyforest, gamclass, handwriter, hybridEnsemble, imputeMissings, ivitr, kernelFactory, less, m2b, metaEnsembleR, microbial, mikropml, missForest, mlearning, mlmts, mlquantify, mt, needmining, nestedcv, nlcv, nlnet, nonet, nonlinearICP, npcs, nproc, omu, optBiomarker, pRF, pathwayTMB, pdi, permimp, phyloregion, pomodoro, predhy, psica, psrwe, randomForestExplainer, rasclass, regfilter, regressoR, rfPermute, rfUtilities, riAFTBART, rminer, scorecardModelUtils, seAMLess, seer, shinyr, sigInt, simputation, soilassessment, sovereign, spikeslab, spm, spm2, stablelearner, statVisual, steprf, synthpop, tashu, traineR, visaOTR, visualpred, vita, waves, xLLiM, zoon.
Depended on by EPX, JQL, MixRF, ModelMap, UBL, alookr, bartMachine, conformalClassification, cpfa, ggRandomForests, interpretR, quantregForest, regclass, rfVarImpOOB, rfviz, varSelRF, vtype.
Suggested by A3, AzureContainers, BatchExperiments, BiodiversityR, Boruta, CAST, ConfusionTableR, DAAG, DriveML, ExplainPrediction, FRESA.CAD, FSelectorRcpp, GROAN, HSAUR, HSAUR2, HSAUR3, ICEbox, IRon, LDLcalc, MLPUGS, MachineShop, MatchIt, OpenML, PhysicalActivity, Platypus, RLT, RStoolbox, SSLR, SmartMeterAnalytics, SuperLearner, TunePareto, VHDClassification, acumos, auditor, breakDown, butcher, caret, caretEnsemble, cat2cat, ceterisParibus, condvis2, creditmodel, crtests, cvms, dismo, dissever, dlookr, doMPI, dyn, e1071, fdm2id, featurefinder, fieldRS, foreach, forecastML, forestControl, forestError, fscaret, ggResidpanel, hdcate, iBreakDown, iml, ipred, localICE, localModel, lolR, lulcc, mboost, memoria, metamicrobiomeR, mice, microeco, mistat, mlr, mlrCPO, mlrMBO, mlrintermbo, mmpf, modelgrid, modelplotr, modeltime, mosaicModel, mosmafs, nlpred, origami, pander, parameters, parcats, party, partykit, pdp, performance, performanceEstimation, pmml, posterior, purge, r2pmml, rSAFE, rattle, raw, riskRegression, sdmApp, see, sentometrics, shapper, shipunov, sits, stars, stratamatch, strip, subsemble, superMICE, swag, text, tidyfit, tidypredict, tornado, tree.interpreter, treemisc, triplot, utiml, vip, vivid, vivo, webSDM, wsrf, yaImpute.
Enhanced by klaR.