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:	2.0-5.1
Depends:	R (≥ 2.10), rpart
Published:	2026-02-17
DOI:	10.32614/CRAN.package.ada
Author:	Mark Culp [aut, cre], Kjell Johnson [aut], George Michailidis [aut]
Maintainer:	Mark Culp <mvculp at mail.wvu.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
CRAN checks:	ada results [issues need fixing before 2026-03-17]

Documentation:

Reference manual:

ada.html , ada.pdf

Downloads:

Package source:	ada_2.0-5.1.tar.gz
Windows binaries:	r-devel: ada_2.0-5.1.zip, r-release: ada_2.0-5.1.zip, r-oldrel: ada_2.0-5.1.zip
macOS binaries:	r-release (arm64): ada_2.0-5.1.tgz, r-oldrel (arm64): ada_2.0-5.1.tgz, r-release (x86_64): ada_2.0-5.1.tgz, r-oldrel (x86_64): ada_2.0-5.1.tgz
Old sources:	ada archive

Reverse dependencies:

Reverse imports:	EZtune, nproc, signeR
Reverse suggests:	E2E, MLInterfaces, mlr, pathMED, rattle

Linking:

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