Rborist: Extensible, Parallelizable Implementation of the Random Forest Algorithm

Scalable implementation of classification and regression forests, as described by Breiman (2001), <doi:10.1023/A:1010933404324>.

Version: 0.2-3
Depends: R (≥ 3.3)
Imports: Rcpp (≥ 0.12.2), data.table (≥ 1.9.8), digest
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown
Published: 2019-10-31
Author: Mark Seligman
Maintainer: Mark Seligman <mseligman at suiji.org>
BugReports: https://github.com/suiji/Arborist/issues
License: MPL version 2.0 | GPL-2 | GPL-3 | file LICENSE [expanded from: MPL (≥ 2) | GPL (≥ 2) | file LICENSE]
URL: http://www.suiji.org/arborist, https://github.com/suiji/Arborist
NeedsCompilation: yes
SystemRequirements: g++ (>= 4.8)
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning
CRAN checks: Rborist results

Documentation:

Reference manual: Rborist.pdf
Vignettes: The Rborist package

Downloads:

Package source: Rborist_0.2-3.tar.gz
Windows binaries: r-devel: Rborist_0.2-3.zip, r-release: Rborist_0.2-3.zip, r-oldrel: Rborist_0.2-3.zip
macOS binaries: r-release (arm64): Rborist_0.2-3.tgz, r-oldrel (arm64): Rborist_0.2-3.tgz, r-release (x86_64): Rborist_0.2-3.tgz, r-oldrel (x86_64): Rborist_0.2-3.tgz
Old sources: Rborist archive

Reverse dependencies:

Reverse imports: mob, VSURF

Linking:

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