Classification and regression based on a forest of trees using random inputs.
| Version: | 4.5-33 |
| Depends: | R (≥ 2.0.0), stats |
| Suggests: | RColorBrewer |
| Published: | 2009-10-18 |
| 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_4.5-33.tar.gz |
| MacOS X binary: | randomForest_4.5-33.tgz |
| Windows binary: | randomForest_4.5-33.zip |
| Reference manual: | randomForest.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | randomForest archive |
| Reverse depends: | DAAG, FSelector, LLdecomp, ModelMap, cem, clustTool, digeR, integrativeME, mirf, nodeHarvest, quantregForest, varSelRF |
| Reverse imports: | optBiomarker |
| Reverse suggests: | Daim, HSAUR, HSAUR2, TWIX, caret, classifly, dyn, e1071, pmml, rattle, yaImpute |