Classification and regression based on a forest of trees using random inputs.
| Version: | 4.6-6 |
| Depends: | R (≥ 2.5.0), stats |
| Suggests: | RColorBrewer, MASS |
| Published: | 2012-01-06 |
| 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 |
| Package source: | randomForest_4.6-6.tar.gz |
| MacOS X binary: | randomForest_4.6-6.tgz |
| Windows binary: | randomForest_4.6-6.zip |
| Reference manual: | randomForest.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | randomForest archive |
| Reverse depends: | AUCRF, Boruta, cem, ChemometricsWithR, clustTool, CompModSA, DAAG, digeR, FSelector, integrativeME, KsPlot, missForest, ModelMap, MVpower, nodeHarvest, partitionMap, quantregForest, RandForestGUI, rfPermute, RTextTools, SlimPLS, spikeslab, TDMR, varSelRF |
| Reverse imports: | optBiomarker, rasclass |
| Reverse suggests: | BatchExperiments, caret, classifly, Daim, dismo, doMPI, dyn, e1071, foreach, HSAUR, HSAUR2, modelcf, pmml, rattle, rminer, RRF, SPOT, sprint, SuperLearner, TunePareto, TWIX, VHDClassification, yaImpute |