Classification and regression based on a forest of trees using random inputs.

Documentation

Manual: randomForest.pdf
Vignette: None available.

Maintainer: Andy Liaw <andy_liaw at merck.com>

Author(s): Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.

Install package and any missing dependencies by running this line in your R console:

install.packages("randomForest")

Depends R (>= 2.5.0), stats
Imports
Suggests RColorBrewer, MASS
Enhances
Linking to
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depends
AUCRF, bartMachine, BigTSP, D2C, interpretR, MAVTgsa, missForest, MixRF, mlDNA, ModelMap, partitionMap, quantregForest, regclass, RFgroove, RFinfer, rfPermute, roughrf, spartan, spikeslab, sprint, trimTrees, UBL, varSelRF
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imports
aCRM, aLFQ, assignPOP, aVirtualTwins, bagRboostR, Biocomb, biomod2, blkbox, CALIBERrfimpute, cem, chemmodlab, ck37r, CondIndTests, CONDOP, conformal, CovSelHigh, cpt, easyml, ebmc, ecospat, EFS, EnsembleBase, exprso, FFTrees, fifer, forestFloor, FSelector, fuzzyforest, gamclass, gencve, ggRandomForests, horserule, hybridEnsemble, hyperSMURF, imputeMissings, IPMRF, kernelFactory, LINselect, m2b, mlearning, Modeler, mopa, NAM, NCSampling, nodeHarvest, NoiseFiltersR, nonlinearICP, nproc, OOBCurve, optBiomarker, OTE, PredPsych, preprocomb, preproviz, pRF, randomForest.ddR, randomForestExplainer, rasclass, REPTILE, RFmarkerDetector, rfUtilities, rminer, RPtests, RTextTools, spm, SPOT, SSDM, synthpop, TLBC, vita, VSURF, zoon
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suggests
A3, aurelius, BatchExperiments, BiodiversityR, boostr, Boruta, caret, caretEnsemble, ChemometricsWithR, COBRA, crtests, DAAG, DAAGxtras, Daim, discSurv, dismo, doMPI, dtree, dyn, e1071, edarf, emil, ExplainPrediction, foreach, fscaret, FSelectorRcpp, GROAN, GSIF, HSAUR, HSAUR2, HSAUR3, ICEbox, lulcc, mboost, mice, MLPUGS, mlr, mlrMBO, mmpf, ModelGood, mosaicModel, OpenML, origami, pander, pdp, pedometrics, performanceEstimation, PivotalR, pmml, purge, rattle, riskRegression, RLT, RStoolbox, simputation, SPreFuGED, strip, subsemble, SuperLearner, tmle.npvi, TunePareto, unbalanced, utiml, VHDClassification, wsrf, yaImpute
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enhances
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linking to

Package randomForest
Materials
URL https://www.stat.berkeley.edu/~breiman/RandomForests/
Task Views Environmetrics , MachineLearning
Version 4.6-12
Published 2015-10-07
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks randomForest check results
Package source randomForest_4.6-12.tar.gz