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
OS X binaries: r-release: randomForest_4.6-14.tgz, r-oldrel: randomForest_4.6-14.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: AUCRF, bartMachine, BigTSP, conformalClassification, interpretR, MAVTgsa, missForest, MixRF, mlDNA, ModelMap, partitionMap, quantregForest, regclass, RFgroove, rfPermute, rfVarImpOOB, rfviz, roughrf, spartan, SpatialML, spikeslab, trimTrees, UBL, varSelRF
Reverse imports: aCRM, aLFQ, assignPOP, aVirtualTwins, bagRboostR, banter, BASiNET, Biocomb, BioMedR, biomod2, blkbox, CALIBERrfimpute, CausalKinetiX, cem, chemmodlab, ck37r, CondIndTests, CONDOP, CovSelHigh, cpt, creditmodel, dendroTools, easyalluvial, ebmc, ecospat, EFS, EnsembleBase, exprso, FateID, FFTrees, forestFloor, FSelector, funbarRF, fuzzyforest, galgo, gamclass, gencve, ggRandomForests, GMDH2, horserule, hybridEnsemble, hyperSMURF, imputeMissings, IPMRF, kernelFactory, KnowGRRF, lilikoi, LINselect, m2b, mlearning, Modeler, mopa, NAM, NCSampling, needmining, nlcv, nlnet, nodeHarvest, NoiseFiltersR, nonet, nonlinearICP, nproc, OOBCurve, optBiomarker, OTE, PCRedux, predictoR, PredPsych, preprocomb, preproviz, pRF, psica, RaceID, randomForestExplainer, rasclass, REPTILE, RFmarkerDetector, rfUtilities, rminer, RPtests, scorecardModelUtils, spm, SPOT, SSDM, Sstack, statVisual, synthpop, TLBC, TriMatch, vita, VSURF, zoon
Reverse suggests: A3, auditor, aurelius, BatchExperiments, BiodiversityR, boostr, Boruta, breakDown, caret, caretEnsemble, CAST, CBDA, ceterisParibus, ChemometricsWithR, COBRA, crtests, DAAG, DAAGxtras, DALEX, DALEX2, discSurv, dismo, dissever, dlookr, doMPI, dtree, dyn, e1071, edarf, ExplainPrediction, featurefinder, fieldRS, foreach, forestControl, FRESA.CAD, fscaret, FSelectorRcpp, GROAN, GSIF, HSAUR, HSAUR2, HSAUR3, iBreakDown, ICEbox, iml, ingredients, localICE, localModel, lulcc, MachineShop, mboost, memoria, mice, MLPUGS, mlr, mlrCPO, mlrMBO, mmpf, ModelGood, modelgrid, modelplotr, mosaicModel, OpenML, origami, pander, parsnip, pdp, pedometrics, performanceEstimation, PivotalR, pmml, purge, rattle, riskRegression, RLT, rsMove, RStoolbox, sentometrics, shapper, shipunov, simputation, spatial.tools, SPreFuGED, strip, SuperLearner, TDMR, tidypredict, tmle.npvi, TunePareto, unbalanced, utiml, VHDClassification, vip, wsrf, xspliner, yaImpute

Linking:

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