randomForest: Breiman and Cutler's 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: 4.7-1.1
Depends: R (≥ 4.1.0), stats
Suggests: RColorBrewer, MASS
Published: 2022-05-23
Author: Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.
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_4.7-1.1.tar.gz
Windows binaries: r-devel: randomForest_4.7-1.1.zip, r-release: randomForest_4.7-1.1.zip, r-oldrel: randomForest_4.7-1.1.zip
macOS binaries: r-release (arm64): randomForest_4.7-1.1.tgz, r-oldrel (arm64): randomForest_4.7-1.1.tgz, r-release (x86_64): randomForest_4.7-1.1.tgz, r-oldrel (x86_64): randomForest_4.7-1.1.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: alookr, bartMachine, ChIC.data, conformalClassification, cpfa, EPX, evaluomeR, ggRandomForests, interpretR, JQL, MixRF, ModelMap, MPV, quantregForest, regclass, rfVarImpOOB, rfviz, SpatialML, UBL, varSelRF, vtype
Reverse imports: aLFQ, aloom, aRtsy, assignPOP, ATACseqQC, AutoScore, aVirtualTwins, BAGofT, banter, BASiNET, BASiNETEntropy, binomialRF, Biocomb, biomod2, biosigner, BPRMeth, BWGS, C443, CALIBERrfimpute, cem, CERFIT, chemmodlab, CiteFuse, classmap, climenv, CondIndTests, consensusOV, countSTAR, Covid19Wastewater, cpt, CRE, crisprScore, curvir, cytofQC, daltoolbox, DaMiRseq, dendroTools, dmlalg, DMLLZU, DMTL, driveR, ebmc, EFS, EnsembleBase, EpiSemble, ExpImage, FateID, FeatureTerminatoR, FFTrees, ForestDisc, FSelector, fuzzyforest, gamclass, GB5mcPred, geomod, GIC, GiniDistance, GMDH2, GOexpress, HaploCatcher, iCheck, ImHD, ImML, ivitr, kernelFactory, KnowSeq, less, LINselect, LongituRF, m2b, MBMethPred, metaEnsembleR, MethPed, microbial, mikropml, missForest, mlearning, mlmts, mlquantify, Modeler, ModTools, Moonlight2R, MoonlightR, MSclassifR, mslp, mt, NCSampling, needmining, nempi, NicheBarcoding, nlcv, nlnet, nonet, nonlinearICP, nproc, omu, OOBCurve, optBiomarker, optimalFlow, ORFhunteR, ORION, OTE, PAA, pathwayTMB, pdi, permimp, pheble, PheVis, Pi, POMA, pomodoro, practicalSigni, preciseTAD, predhy, predhy.GUI, PredPsych, pRF, pRoloc, psica, RaceID, randomForestExplainer, RandomForestsGLS, randomForestVIP, rasclass, RaSEn, RclusTool, regfilter, REPTILE, RFclust, RFlocalfdr, rfPermute, rfUtilities, rgnoisefilt, riAFTBART, Ricrt, rminer, RPtests, RSDA, RTextTools, Rtrack, scmap, scorecardModelUtils, scReClassify, SDMtune, seer, shinyr, sigInt, signeR, simputation, smdi, soilassessment, sovereign, spikeslab, spm, spm2, SPOT, SSDM, Sstack, stablelearner, statTarget, statVisual, steprf, STGS, SynDI, synthpop, tashu, TIGERr, traineR, tRigon, TriMatch, TSPred, visaOTR, visualpred, vita, VMDML, VSURF, WaveletRF, waves, xLLiM
Reverse suggests: A3, acumos, auditor, AzureContainers, BatchExperiments, BiodiversityR, Boruta, breakDown, butcher, caret, caretEnsemble, CAST, cat2cat, ceterisParibus, CMA, cola, condiments, condvis2, ConfusionTableR, conTree, counterfactuals, creditmodel, cvms, DAAG, dismo, dissever, dlookr, doMPI, dyn, e1071, ecospat, ecr, evalITR, ExplainPrediction, explore, fdm2id, featurefinder, flowml, foreach, forecastML, forestControl, forestError, FRESA.CAD, fscaret, FSelectorRcpp, ggResidpanel, GROAN, hdcate, HPiP, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, ipred, IRon, ivygapSE, LDLcalc, localICE, localModel, lolR, lulcc, MachineShop, MACP, MatchIt, mboost, memoria, metamicrobiomeR, mice, MicrobiotaProcess, microeco, mistat, MLInterfaces, MLPUGS, mlr, mlrCPO, mlrintermbo, mlrMBO, mmpf, mnmer, modeltime, mosaicModel, nestedcv, nlpred, oosse, OpenML, origami, pander, parameters, party, partykit, pdp, performance, performanceEstimation, PhysicalActivity, pmml, posterior, probably, purge, qeML, r2pmml, rattle, raw, riskRegression, RLSeq, RLT, rSAFE, sdmApp, see, sentometrics, sesame, shapper, shipunov, sits, SmartMeterAnalytics, SSLR, stars, stratamatch, strip, subsemble, SuperLearner, superMICE, swag, TBSignatureProfiler, text, tidyAML, tidyfit, tidypredict, tornado, tree.interpreter, treemisc, treeshap, triplot, TunePareto, utiml, VHDClassification, vivid, vivo, webSDM, wsrf, xgrove, yaImpute
Reverse enhances: cornet, klaR, vip

Linking:

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