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ada: The R Package Ada for Stochastic Boosting

Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited for small to moderate-sized data sets.

Version: 2.0-5
Depends: R (≥ 2.10), rpart
Published: 2016-05-13
DOI: 10.32614/CRAN.package.ada
Author: Mark Culp, Kjell Johnson, and George Michailidis
Maintainer: Mark Culp <mvculp at mail.wvu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: ada results

Documentation:

Reference manual: ada.pdf

Downloads:

Package source: ada_2.0-5.tar.gz
Windows binaries: r-devel: ada_2.0-5.zip, r-release: ada_2.0-5.zip, r-oldrel: ada_2.0-5.zip
macOS binaries: r-release (arm64): ada_2.0-5.tgz, r-oldrel (arm64): ada_2.0-5.tgz, r-release (x86_64): ada_2.0-5.tgz, r-oldrel (x86_64): ada_2.0-5.tgz
Old sources: ada archive

Reverse dependencies:

Reverse imports: EZtune, nproc, RecordLinkage, signeR, traineR
Reverse suggests: flowml, fscaret, MLInterfaces, mlr, pmml, rattle

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ada 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.
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