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

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


Reference manual: maboost.pdf


Package source: maboost_1.0-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): maboost_1.0-0.tgz, r-release (x86_64): maboost_1.0-0.tgz, r-oldrel: maboost_1.0-0.tgz


Please use the canonical form to link to this page.