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Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <doi:10.1023/A:1010933404324>.
Version: | 4.7-1.2 |
Depends: | R (≥ 4.1.0), stats |
Suggests: | RColorBrewer, MASS |
Published: | 2024-09-22 |
DOI: | 10.32614/CRAN.package.randomForest |
Author: | Leo Breiman [aut] (Fortran original), Adele Cutler [aut] (Fortran original), Andy Liaw [aut, cre] (R port), Matthew Wiener [aut] (R port) |
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_4.7-1.2.tar.gz |
Windows binaries: | r-devel: randomForest_4.7-1.2.zip, r-release: randomForest_4.7-1.2.zip, r-oldrel: randomForest_4.7-1.2.zip |
macOS binaries: | r-release (arm64): randomForest_4.7-1.2.tgz, r-oldrel (arm64): randomForest_4.7-1.2.tgz, r-release (x86_64): randomForest_4.7-1.2.tgz, r-oldrel (x86_64): randomForest_4.7-1.2.tgz |
Old sources: | randomForest archive |
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These binaries (installable software) and packages are in development.
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