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

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

Version: 4.6-7
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, MASS
Published: 2012-10-16
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
In views: Environmetrics, MachineLearning
CRAN checks: randomForest results

Downloads:

Package source: randomForest_4.6-7.tar.gz
MacOS X binary: randomForest_4.6-7.tgz
Windows binary: randomForest_4.6-7.zip
Reference manual: randomForest.pdf
News/ChangeLog:NEWS
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: AUCRF, BigTSP, biomod2, Boruta, cem, DAAG, gamclass, KsPlot, missForest, ModelMap, MVpower, nodeHarvest, partitionMap, quantregForest, rfPermute, RTextTools, SlimPLS, spikeslab, TDMR, varSelRF, VSURF
Reverse imports: aCRM, bagRboostR, FSelector, GSIF, kernelFactory, mlearning, optBiomarker, rasclass
Reverse suggests: A3, BatchExperiments, BiodiversityR, caret, ChemometricsWithR, classifly, COBRA, Daim, dismo, doMPI, dyn, e1071, foreach, fscaret, HSAUR, HSAUR2, modelcf, pmml, rattle, rminer, RRF, SPOT, sprint, SuperLearner, TunePareto, TWIX, VHDClassification, yaImpute