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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: 0.3-7
Depends: R (≥ 3.3)
Imports: Rcpp (≥ 0.12.2), data.table (≥ 1.9.8), digest
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, markdown
Published: 2024-01-15
DOI: 10.32614/CRAN.package.Rborist
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: https://github.com/suiji/Rborist.CRAN, https://github.com/suiji/Arborist
NeedsCompilation: yes
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning
CRAN checks: Rborist results

Documentation:

Reference manual: Rborist.pdf
Vignettes: The Rborist package

Downloads:

Package source: Rborist_0.3-7.tar.gz
Windows binaries: r-devel: Rborist_0.3-7.zip, r-release: Rborist_0.3-7.zip, r-oldrel: Rborist_0.3-7.zip
macOS binaries: r-release (arm64): Rborist_0.3-7.tgz, r-oldrel (arm64): Rborist_0.3-7.tgz, r-release (x86_64): Rborist_0.3-7.tgz, r-oldrel (x86_64): Rborist_0.3-7.tgz
Old sources: Rborist archive

Reverse dependencies:

Reverse imports: mob
Reverse suggests: VSURF

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rborist to link to this page.

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.