randomForest: Breiman and Cutlers 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: 4.7-1.2
Depends: R (≥ 4.1.0), stats
Suggests: RColorBrewer, MASS
Published: 2024-09-22
DOI: 10.32614/CRAN.package.randomForest
Author: Leo Breiman [aut] (Fortran original), Adele Cutler [aut] (Fortran original), Andy Liaw [aut, cre] (R port), Matthew Wiener [aut] (R port)
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.html , randomForest.pdf

Downloads:

Package source: randomForest_4.7-1.2.tar.gz
Windows binaries: r-devel: randomForest_4.7-1.2.zip, r-release: randomForest_4.7-1.2.zip, r-oldrel: randomForest_4.7-1.2.zip
macOS binaries: r-release (arm64): randomForest_4.7-1.2.tgz, r-oldrel (arm64): randomForest_4.7-1.2.tgz, r-release (x86_64): randomForest_4.7-1.2.tgz, r-oldrel (x86_64): randomForest_4.7-1.2.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: alookr, btml, ClassificationEnsembles, EPX, evaluomeR, interpretR, LogisticEnsembles, MiscMath, MixRF, ModelMap, mvs, NumericEnsembles, quantregForest, regclass, rfVarImpOOB, rfviz, tgml, varSelRF, vtype
Reverse imports: accelEE, aloom, aRtsy, ARTtransfer, assignPOP, ATACseqQC, AutoScore, aVirtualTwins, BAGofT, banter, bartMachine, BASiNET, BASiNETEntropy, betaStability, biosigner, BWGS, C443, CALIBERrfimpute, CDSimX, cem, CERFIT, CiteFuse, classmap, CLIQUE, CompMix, conforest, consensusOV, cpfa, cpt, CRE, crisprScore, CrownScorchTLS, crupR, curvir, cytofQC, CytoProfile, daltoolbox, DaMiRseq, dendroTools, driveR, DspikeIn, easyalluvial, ebmc, ensembleML, EpiSemble, FateID, FeatureTerminatoR, FoRecoML, ForestDisc, forestsearch, FSelector, funcml, fuzzyforest, gamclass, GB5mcPred, geomod, ggRandomForests, ggscidca, GIC, GiniDistance, gINTomics, GMDH2, GOexpress, HaploCatcher, HNPclassifier, ICESat2VegR, iCheck, iimi, ImML, imputeMissings, InterpolateR, ipd, IPMRF, KnowSeq, less, LINselect, LSDirf, m2b, MBMethPred, MethPed, MFF, microbial, MicrobTiSDA, mikropml, missForest, mlearning, MLmorph, mlquantify, MLSP, mlspatial, Modeler, ModTools, Moonlight2R, MoonlightR, MRTAnalysis, mslp, mt, MUVR2, nadir, nempi, newmark, nlcv, nlnet, nproc, omu, OncoSubtype, OOBCurve, opencesp, OpEnHiMR, OPL, optBiomarker, optimalFlow, ORFhunteR, OTE, PAA, PAGE, pdi, permimp, PheVis, plinkQC, POMA, pomodoro, POPInf, postNet, practicalSigni, preciseTAD, PredPsych, pRF, pRoloc, psica, psrwe, RaceID, randomForestExplainer, RandomForestsGLS, randomForestVIP, RaSEn, reddPrec, RegEnRF, RegEnrich, RFclust, RFlocalfdr, RFmerge, rfPermute, RFplus, rgnoisefilt, RHC, riAFTBART, Ricrt, riskutility, rjaf, rminer, RPtests, rQSAR, RSDA, RTextTools, Rtrack, sae.projection, scmap, scorecardModelUtils, scReClassify, SDMtune, seer, shinyr, sigInt, signeR, simputation, SingRegKrig, sits, smdi, SMMAL, soilassessment, sphereML, spikeslab, spm, spm2, SPONGE, spqrp, SSDM, Sstack, stablelearner, STATassist