randomForest: Breiman and Cutler's Random Forests for Classification and Regression

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

Version: 4.6-12
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, MASS
Published: 2015-10-07
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
CRAN checks: randomForest results


Reference manual: randomForest.pdf
Package source: randomForest_4.6-12.tar.gz
Windows binaries: r-devel: randomForest_4.6-12.zip, r-release: randomForest_4.6-12.zip, r-oldrel: randomForest_4.6-12.zip
OS X El Capitan binaries: r-release: randomForest_4.6-12.tgz
OS X Mavericks binaries: r-oldrel: randomForest_4.6-12.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: AUCRF, bartMachine, BigTSP, D2C, interpretR, MAVTgsa, missForest, MixRF, mlDNA, ModelMap, partitionMap, quantregForest, regclass, RFgroove, RFinfer, rfPermute, roughrf, spikeslab, sprint, trimTrees, UBL, varSelRF
Reverse imports: aCRM, aLFQ, assignPOP, aVirtualTwins, bagRboostR, Biocomb, biomod2, blkbox, CALIBERrfimpute, cem, chemmodlab, ck37r, CondIndTests, CONDOP, conformal, CovSelHigh, cpt, easyml, 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, SPOT, SSDM, synthpop, TLBC, vita, VSURF, zoon
Reverse 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, GROAN, GSIF, HSAUR, HSAUR2, HSAUR3, ICEbox, lulcc, mboost, mice, MLPUGS, mlr, mlrMBO, mmpf, ModelGood, 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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