Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <doi:10.1023/A:1010933404324>.
Version: | 4.6-14 |
Depends: | R (≥ 3.2.2), stats |
Suggests: | RColorBrewer, MASS |
Published: | 2018-03-25 |
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: | https://www.stat.berkeley.edu/~breiman/RandomForests/ |
NeedsCompilation: | yes |
Citation: | randomForest citation info |
Materials: | NEWS |
In views: | Environmetrics, MachineLearning, MissingData |
CRAN checks: | randomForest results |
Reference manual: | randomForest.pdf |
Package source: | randomForest_4.6-14.tar.gz |
Windows binaries: | r-devel: randomForest_4.6-14.zip, r-release: randomForest_4.6-14.zip, r-oldrel: randomForest_4.6-14.zip |
OS X binaries: | r-release: randomForest_4.6-14.tgz, r-oldrel: randomForest_4.6-14.tgz |
Old sources: | randomForest archive |
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