randomForest: Breiman and Cutler's random forests for classification and regression

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

Version: 4.6-10
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, MASS
Published: 2014-07-17
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: http://stat-www.berkeley.edu/users/breiman/RandomForests
NeedsCompilation: yes
Citation: randomForest citation info
Materials: NEWS
In views: Environmetrics, MachineLearning
CRAN checks: randomForest results

Downloads:

Reference manual: randomForest.pdf
Package source: randomForest_4.6-10.tar.gz
Windows binaries: r-devel: randomForest_4.6-10.zip, r-release: randomForest_4.6-10.zip, r-oldrel: randomForest_4.6-10.zip
OS X Snow Leopard binaries: r-release: randomForest_4.6-10.tgz, r-oldrel: randomForest_4.6-10.tgz
OS X Mavericks binaries: r-release: randomForest_4.6-10.tgz
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: AUCRF, bartMachine, BigTSP, Boruta, cem, KsPlot, MAVTgsa, missForest, mlDNA, ModelMap, MVpower, partitionMap, quantregForest, spikeslab, trimTrees, varSelRF, VSURF
Reverse imports: aCRM, bagRboostR, biomod2, bootfs, CALIBERrfimpute, ecospat, FSelector, gamclass, GSIF, hybridEnsemble, kernelFactory, mice, mlearning, nodeHarvest, optBiomarker, rasclass, rfPermute, RTextTools
Reverse suggests: A3, aLFQ, BatchExperiments, BiodiversityR, boostr, caret, ChemometricsWithR, COBRA, DAAG, DAAGxtras, Daim, dismo, doMPI, dyn, e1071, emil, foreach, fscaret, HSAUR, HSAUR2, HSAUR3, ICEbox, LINselect, mlr, ModelGood, pmml, rattle, rminer, SPOT, subsemble, SuperLearner, TDMR, tmle.npvi, TunePareto, VHDClassification, wsrf, yaImpute