Iteratively grows feature weighted random forests and finds high-order feature interactions in a stable fashion.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | AUC, Matrix, data.table, dplyr, Rcpp, methods, foreach, doParallel, RColorBrewer |
| LinkingTo: | Rcpp |
| Suggests: | MASS, rgl |
| Published: | 2017-07-26 |
| Author: | Sumanta Basu and Karl Kumbier (based on source codes from the R packages FSInteract by Hyun Jik Kim and Rajen D. Shah, randomForest by Andy Liaw and Matthew Wiener, and the original Fortran codes by Leo Breiman and Adele Cutler) |
| Maintainer: | Karl Kumbier <kkumbier at berkeley.edu> |
| License: | GPL-2 |
| URL: | https://arxiv.org/abs/1706.08457 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README |
| CRAN checks: | iRF results |
| Reference manual: | iRF.pdf |
| Package source: | iRF_2.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: iRF_2.0.0.zip, r-oldrel: iRF_2.0.0.zip |
| macOS binaries: | r-release: iRF_2.0.0.tgz, r-oldrel: iRF_2.0.0.tgz |
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