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

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

Version: 4.5-34
Depends: R (≥ 2.0.0), stats
Suggests: RColorBrewer
Published: 2009-12-06
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)
URL: http://stat-www.berkeley.edu/users/breiman/RandomForests
Citation: randomForest citation info
In views: Environmetrics, MachineLearning
CRAN checks: randomForest results

Downloads:

Package source: randomForest_4.5-34.tar.gz
MacOS X binary: randomForest_4.5-34.tgz
Windows binary: randomForest_4.5-34.zip
Reference manual: randomForest.pdf
News/ChangeLog:NEWS
Old sources: randomForest archive

Reverse dependencies:

Reverse depends: Boruta, DAAG, FSelector, LLdecomp, ModelMap, cem, clustTool, digeR, integrativeME, mirf, nodeHarvest, quantregForest, varSelRF, MCRestimate
Reverse imports: optBiomarker, BioSeqClass
Reverse suggests: Daim, HSAUR, HSAUR2, TWIX, caret, classifly, doMPI, dyn, e1071, pmml, rattle, yaImpute, BiocCaseStudies, CMA, MLInterfaces