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 |
| 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 depends: | AUCRF, bartMachine, BigTSP, Boruta, cem, D2C, interpretR, MAVTgsa, missForest, mlDNA, ModelMap, partitionMap, quantregForest, rfUtilities, spikeslab, sprint, trimTrees, varSelRF, VSURF |
| Reverse imports: | aCRM, aLFQ, bagRboostR, biomod2, CALIBERrfimpute, ecospat, EnsembleBase, FSelector, gamclass, GSIF, hybridEnsemble, kernelFactory, mice, mlearning, nodeHarvest, optBiomarker, rasclass, rfPermute, rminer, RTextTools |
| Reverse suggests: | A3, BatchExperiments, BiodiversityR, boostr, caret, ChemometricsWithR, COBRA, DAAG, DAAGxtras, Daim, dismo, doMPI, dyn, e1071, emil, foreach, fscaret, HSAUR, HSAUR2, HSAUR3, ICEbox, LINselect, mboost, mlr, ModelGood, pmml, rattle, SPOT, subsemble, SuperLearner, TDMR, tmle.npvi, TunePareto, VHDClassification, wsrf, yaImpute |