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 |
| 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 |
| macOS binaries: | r-release: maboost_1.0-0.tgz, r-oldrel: maboost_1.0-0.tgz |
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