Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.
| Version: | 1.4.1 |
| Imports: | Rcpp (≥ 1.0.9) |
| LinkingTo: | Rcpp |
| Published: | 2023-01-29 |
| DOI: | 10.32614/CRAN.package.brif |
| Author: | Yanchao Liu |
| Maintainer: | Yanchao Liu <yanchaoliu at wayne.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | brif results |
| Reference manual: | brif.html ,brif.pdf |
| Package source: | brif_1.4.1.tar.gz |
| Windows binaries: | r-devel:brif_1.4.1.zip, r-release:brif_1.4.1.zip, r-oldrel:brif_1.4.1.zip |
| macOS binaries: | r-release (arm64):brif_1.4.1.tgz, r-oldrel (arm64):brif_1.4.1.tgz, r-release (x86_64):brif_1.4.1.tgz, r-oldrel (x86_64):brif_1.4.1.tgz |
| Old sources: | brif archive |
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