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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 [aut, cre] |
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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.