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rbooster: AdaBoost Framework for Any Classifier

This is a simple package which provides a function that boosts pre-ready or custom-made classifiers. Package uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) and Real AdaBoost (<doi:10.1214/aos/1016218223>) for two class, SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) and SAMME.R (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.

Version: 1.1.0
Depends: R (> 4.0.4)
Imports: stats, rpart, earth, Hmisc
Suggests: knitr, imbalance, rmarkdown, mlbench
Published: 2021-10-27
Author: Fatih Saglam ORCID iD [aut, cre], Hasan Bulut [ctb]
Maintainer: Fatih Saglam <fatih.saglam at omu.edu.tr>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: rbooster results

Documentation:

Reference manual: rbooster.pdf
Vignettes: booster

Downloads:

Package source: rbooster_1.1.0.tar.gz
Windows binaries: r-devel: rbooster_1.1.0.zip, r-release: rbooster_1.1.0.zip, r-oldrel: rbooster_1.1.0.zip
macOS binaries: r-release (arm64): rbooster_1.1.0.tgz, r-oldrel (arm64): rbooster_1.1.0.tgz, r-release (x86_64): rbooster_1.1.0.tgz, r-oldrel (x86_64): rbooster_1.1.0.tgz
Old sources: rbooster archive

Linking:

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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.
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