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: 4.6-14
Depends: R (≥ 3.2.2), stats
Suggests: RColorBrewer, MASS
Published: 2018-03-25
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

Downloads:

Reference manual: randomForest.pdf
Package source: randomForest_4.6-14.tar.gz
Windows binaries: r-devel: randomForest_4.6-14.zip, r-release: randomForest_4.6-14.zip, r-oldrel: randomForest_4.6-14.zip
macOS binaries: r-release: randomForest_4.6-14.tgz, r-oldrel: randomForest_4.6-14.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: alookr, AUCRF, bartMachine, BigTSP, conformalClassification, EPX, interpretR, JQL, MAVTgsa, missForest, MixRF, ModelMap, partitionMap, quantregForest, regclass, rfPermute, rfVarImpOOB, rfviz, SpatialML, spikeslab, trimTrees, UBL, varSelRF
Reverse imports: aCRM, aLFQ, assignPOP, ATACseqQC, aVirtualTwins, banter, BASiNET, binomialRF, Biocomb, BioMedR, biomod2, BioSeqClass, biosigner, blkbox, BPRMeth, BWGS, CausalKinetiX, cem, chemmodlab, CiteFuse, CondIndTests, CONDOP, consensusOV, CovSelHigh, cpt, DaMiRseq, dendroTools, easyalluvial, ebmc, ecospat, EFS, EnsembleBase, FateID, fdm2id, ForestDisc, FSelector, funbarRF, fuzzyforest, gencve, ggRandomForests, GiniDistance, GMDH2, GOexpress, GRPtests, horserule, hybridEnsemble, hyperSMURF, iCheck, imputeMissings, IPMRF, kernelFactory, KnowGRRF, KnowSeq, LINselect, m2b, MetaClean, MethPed, MicrobiotaProcess, mlearning, Modeler, MoonlightR, NCSampling, needmining, nlcv, nodeHarvest, NoiseFiltersR, nonet, nonlinearICP, nproc, OmicsMarkeR, OOBCurve, optBiomarker, optimalFlow, ORION, OTE, PAA, permimp, Pi, predictoR, PredPsych, pRF, pRoloc, psica, RaceID, randomForestExplainer, rasclass, RaSEn, RclusTool, regressoR, REPTILE, RFmerge, rfUtilities, rminer, RPtests, RTextTools, Rtrack, scDblFinder, scmap, scorecardModelUtils, SDMtune, seer, sesame, shinyr, sigInt, soilassessment, spm, SPOT, SSDM, Sstack, stablelearner, statTarget, statVisual, STGS, synthpop, tashu, TestDimorph, TLBC, traineR, trena, TriMatch, vita, VSURF, zoon
Reverse suggests: A3, auditor, aurelius, AzureContainers, BAGofT, BatchExperiments, BiocCaseStudies, BiodiversityR, boostr, Boruta, breakDown, butcher, caret, caretEnsemble, CAST, CBDA, ceterisParibus, ChemometricsWithR, ClassifyR, CMA, COBRA, condvis2, creditmodel, crtests, cvms, DAAG, DALEXtra, discSurv, dismo, dissever, dlookr, doMPI, DriveML, dtree, dyn, e1071, ENMTools, ExplainPrediction, featurefinder, fieldRS, foreach, forecastML, forestControl, forestError, FRESA.CAD, fscaret, FSelectorRcpp, ggResidpanel, GROAN, GSIF, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, ingredients, ivygapSE, localICE, localModel, lolR, lulcc, MachineShop, mboost, memoria, mice, MLInterfaces, MLPUGS, mlr, mlrCPO, mlrMBO, mmpf, ModelGood, modelgrid, modelplotr, modeltime, mosaicModel, mosmafs, nlpred, OpenML, origami, pander, parameters, parcats, parsnip, PCRedux, pdp, pedometrics, performance, performanceEstimation, PivotalR, pmml, purge, r2pmml, rattle, riskRegression, RLT, RStoolbox, see, sentometrics, shapper, shipunov, simputation, SPreFuGED, SSLR, strip, SuperLearner, TCGAbiolinksGUI.data, TDMR, tidypredict, tmle.npvi, tree.interpreter, triplot, tune, TunePareto, unbalanced, utiml, VHDClassification, vip, vivo, wsrf, xspliner, yaImpute

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