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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: ada results


Reference manual: ada.pdf


Package source: ada_2.0-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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