ada: ada: an R package 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. Please refer to the Url below for more information.

Version: 2.0-3
Depends: R (≥ 2.10), rpart
Published: 2012-06-25
Author: Mark Culp, Kjell Johnson, and George Michailidis
Maintainer: Mark Culp <mculp at stat.wvu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: ada results

Downloads:

Reference manual: ada.pdf
Package source: ada_2.0-3.tar.gz
OS X binary: ada_2.0-3.tgz
Windows binary: ada_2.0-3.zip
Old sources: ada archive

Reverse dependencies:

Reverse depends: RecordLinkage
Reverse imports: aCRM, hybridEnsemble
Reverse suggests: ChemometricsWithR, fscaret, mlr, pmml, rattle