maboost: Binary and Multiclass Boosting Algorithms

Performs binary and multiclass boosting in maximum-margin, sparse, smooth and normal settings as described in "A Boosting Framework on Grounds of Online Learning" by T. Naghibi and B. Pfister, (2014). For further information regarding the algorithms, please refer to http://arxiv.org/abs/1409.7202

Version: 1.0-0
Depends: R (≥ 2.10), rpart, C50
Published: 2014-11-25
Author: Tofigh Naghibi
Maintainer: Tofigh Naghibi <tofigh at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: maboost results

Downloads:

Reference manual: maboost.pdf
Package source: maboost_1.0-0.tar.gz
Windows binaries: r-devel: maboost_1.0-0.zip, r-release: maboost_1.0-0.zip, r-oldrel: maboost_1.0-0.zip
OS X El Capitan binaries: r-release: maboost_1.0-0.tgz
OS X Mavericks binaries: r-oldrel: maboost_1.0-0.tgz

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