brif: A Tree and Forest Tool for Classification and Regression

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: 1.4.0
Imports: Rcpp (≥ 1.0.9)
LinkingTo: Rcpp
Published: 2023-01-13
Author: Yanchao Liu ORCID iD [aut, cre]
Maintainer: Yanchao Liu <yanchaoliu at wayne.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: brif results

Documentation:

Reference manual: brif.pdf

Downloads:

Package source: brif_1.4.0.tar.gz
Windows binaries: r-devel: brif_1.4.0.zip, r-release: brif_1.4.0.zip, r-oldrel: brif_1.4.0.zip
macOS binaries: r-release (arm64): brif_1.4.0.tgz, r-oldrel (arm64): brif_1.4.0.tgz, r-release (x86_64): brif_1.4.0.tgz, r-oldrel (x86_64): brif_1.4.0.tgz
Old sources: brif archive

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