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' <>.

Version: 1.4.1
Imports: Rcpp (≥ 1.0.9)
LinkingTo: Rcpp
Published: 2023-01-29
DOI: 10.32614/CRAN.package.brif
Author: Yanchao Liu ORCID iD [aut, cre]
Maintainer: Yanchao Liu <yanchaoliu at>
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:, r-release:, r-oldrel:
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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