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, quantregForest, regclass, rfVarImpOOB, rfviz, UBL, varSelRF, vtype
Reverse imports: aLFQ, aRtsy, assignPOP, ATACseqQC, AutoScore, aVirtualTwins, BAGofT, banter, BASiNET, BASiNETEntropy, binomialRF, Biocomb, biomod2, biosigner, BPRMeth, BWGS, CALIBERrfimpute, CausalKinetiX, ccdf, cem, CERFIT, chemmodlab, ChIC, CiteFuse, ClassifyR, classmap, CondIndTests, consensusOV, cpt, crisprScore, DaMiRseq, dendroTools, dmlalg, DMLLZU, DMTL, driveR, easyalluvial, ebmc, ecospat, EFS, EnsembleBase, EpiSemble, FateID, fdm2id, feamiR, FeatureTerminatoR, FFTrees, ForestDisc, foster, FSelector, fuzzyforest, gamclass, GIC, GiniDistance, GMDH2, GOexpress, handwriter, hybridEnsemble, iCheck, imputeMissings, ivitr, kernelFactory, KnowSeq, LINselect, LongituRF, m2b, metaEnsembleR, MethPed, microbial, mikropml, missForest, mlearning, mlquantify, Modeler, ModTools, MoonlightR, mt, NCSampling, needmining, nempi, nestedcv, NicheBarcoding, nlcv, nlnet, nonet, nonlinearICP, npcs, nproc, omu, OOBCurve, optBiomarker, optimalFlow, ORFhunteR, ORION, OTE, PAA, ParallelDSM, pathwayTMB, pdi, permimp, PheVis, phyloregion, Pi, POMA, pomodoro, preciseTAD, predhy, PredPsych, pRF, pRoloc, psica, psrwe, RaceID, randomForestExplainer, RandomForestsGLS, rasclass, RaSEn, RclusTool, RegEnrich, regfilter, regressoR, REPTILE, RFclust, RFmerge, rfPermute, rfUtilities, riAFTBART, rminer, RPtests, RSDA, RTextTools, Rtrack, scmap, scorecardModelUtils, scReClassify, SDMtune, seAMLess, seer, shinyr, sigInt, simputation, soilassessment, sovereign, spikeslab, spm, spm2, SPONGE, SPOT, SSDM, Sstack, stablelearner, statTarget, statVisual, steprf, STGS, SynDI, synthpop, tashu, TIGERr, traineR, trena, TriMatch, TSPred, visaOTR, visualpred, vita, VMDML, VSURF, WaveletRF, waves, xLLiM, zoon
Reverse suggests: A3, acumos, auditor, AzureContainers, BatchExperiments, BiodiversityR, Boruta, breakDown, butcher, caret, caretEnsemble, CAST, cat2cat, CBDA, ceterisParibus, cheem, CMA, cola, condiments, condvis2, ConfusionTableR, creditmodel, crtests, cvms, DAAG, dismo, dissever, dlookr, doMPI, DriveML, dyn, e1071, ENMTools, ExplainPrediction, featurefinder, fieldRS, foreach, forecastML, forestControl, forestError, FRESA.CAD, fscaret, FSelectorRcpp, ggResidpanel, GROAN, HPiP, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, ipred, IRon, ivygapSE, LDLcalc, localICE, localModel, lolR, lulcc, MachineShop, MatchIt, mboost, memoria, metamicrobiomeR, mice, MicrobiotaProcess, microeco, mistat, MLInterfaces, MLPUGS, mlr, mlrCPO, mlrintermbo, mlrMBO, mmpf, modelgrid, modelplotr, modeltime, mosaicModel, mosmafs, nlpred, origami, pander, parameters, parcats, party, partykit, pdp, performance, performanceEstimation, PhysicalActivity, Platypus, pmml, posterior, purge, r2pmml, rattle, raw, riskRegression, RLSeq, RLT, rSAFE, RStoolbox, sdmApp, see, sentometrics, sesame, shapper, shipunov, sits, SmartMeterAnalytics, SSLR, stars, stratamatch, strip, subsemble, SuperLearner, superMICE, swag, TBSignatureProfiler, text, tidypredict, tornado, tree.interpreter, triplot, TunePareto, utiml, VHDClassification, vip, vivid, vivo, wsrf, yaImpute
Reverse enhances: klaR

Linking:

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