adabag: Applies Adaboost.M1 and Bagging

This package implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation predictions can be done.

Version: 1.1
Depends: R (≥ 2.4.0), rpart, mlbench
Published: 2007-10-25
Author: Esteban Alfaro Cortes, Matias Gamez Martinez and Noelia Garcia Rubio
Maintainer: Esteban Alfaro Cortes <Esteban.Alfaro at uclm.es>
License: GPL (≥ 2)
CRAN checks: adabag results

Downloads:

Package source: adabag_1.1.tar.gz
MacOS X binary: adabag_1.1.tgz
Windows binary: adabag_1.1.zip
Reference manual: adabag.pdf
Old sources: adabag archive

Reverse dependencies:

Reverse depends: digeR