Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("randomForest")

4.7-1.1 by Andy Liaw, 2 years 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, CondIndTests, DMLLZU, DMTL, EFS, EnsembleBase, EpiSemble, ExpImage, FFTrees, FSelector, FateID, FeatureTerminatoR, ForestDisc, GB5mcPred, GIC, GMDH2, GiniDistance, HaploCatcher, ImHD, ImML, LINselect, LongituRF, MBMethPred, MSclassifR, ModTools, Modeler, NCSampling, NicheBarcoding, OOBCurve, ORION, OTE, POPInf, PheVis, PredPsych, REPTILE, RFclust, RFlocalfdr, RPtests, RSDA, RTextTools, RaSEn, RaceID, RandomForestsGLS, RclusTool, Ricrt, Rtrack, SDMtune, SPOT, SSDM, STGS, Sstack, SweepDiscovery, SynDI, TIGERr, TSPred, TriMatch, VMDML, VSURF, WaveletRF, aLFQ, aRtsy, aVirtualTwins, aloom, assignPOP, banter, binomialRF, biomod2, cem, chemmodlab, classmap, climenv, countSTAR, cpfa, cpt, curvir, daltoolbox, dendroTools, dmlalg, driveR, easyalluvial, ebmc, fuzzyforest, gamclass, geomod, ggscidca, iimi, ivitr, kernelFactory, less, m2b, metaEnsembleR, microbial, mikropml, missForest, mlearning, mlmts, mlquantify, mt, needmining, nlcv, nlnet, nonet, nonlinearICP, nproc, omu, optBiomarker, pRF, pathwayTMB, pdi, permimp, pheble, pomodoro, practicalSigni, predhy.GUI, psica, randomForestExplainer, randomForestVIP, rasclass, rfPermute, rfUtilities, rgnoisefilt, rminer, scorecardModelUtils, seer, shinyr, sigInt, simputation, smdi, soilassessment, sovereign, spikeslab, spm, spm2, stablelearner, statVisual, steprf, synthpop, tRigon, tashu, traineR, visaOTR, visualpred, vita, waves, xLLiM.

Depended on by EPX, JQL, MPV, MixRF, ModelMap, SpatialML, UBL, alookr, bartMachine, conformalClassification, ggRandomForests, interpretR, quantregForest, regclass, rfVarImpOOB, rfviz, varSelRF, vtype.

Suggested by A3, AzureContainers, BatchExperiments, BiodiversityR, Boruta, CAST, ConfusionTableR, DAAG, ENMTools, ExplainPrediction, FAST.R, FRESA.CAD, FSelectorRcpp, GROAN, HSAUR, HSAUR2, HSAUR3, ICEbox, IRon, LDLcalc, MACP, MLPUGS, MachineShop, MatchIt, OpenML, PhysicalActivity, RLT, RStoolbox, SSLR, SmartMeterAnalytics, SuperLearner, TunePareto, VHDClassification, acumos, auditor, breakDown, butcher, caret, caretEnsemble, cat2cat, ceterisParibus, conTree, condvis2, counterfactuals, creditmodel, cvms, dismo, dissever, dlookr, doMPI, dyn, e1071, ecospat, ecr, evalITR, explore, fdm2id, featurefinder, flowml, 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, mnmer, modeltime, mosaicModel, nestedcv, nlpred, oosse, origami, pander, parameters, parcats, party, partykit, pdp, performance, performanceEstimation, pmml, posterior, probably, purge, qeML, r2pmml, rSAFE, rattle, raw, riskRegression, see, sentometrics, shapper, shipunov, sits, stars, stratamatch, strip, subsemble, superMICE, swag, text, tidyAML, tidyfit, tidypredict, tornado, tree.interpreter, treemisc, treeshap, triplot, utiml, vivid, vivo, webSDM, wsrf, xgrove, yaImpute.

Enhanced by cornet, klaR, vip.


See at CRAN