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: | 2.0-1 |
| Depends: | R(≥ 2.0.1), rpart |
| Date: | 2006-09-26 |
| Author: | Mark Culp, Kjell Johnson, and George Michailidis |
| Maintainer: | Mark Culp <culpm at umich.edu> |
| License: | GPL |
| CRAN checks: | ada results |
Downloads:
| Package source: | ada_2.0-1.tar.gz |
| MacOS X binary: | ada_2.0-1.tgz |
| Windows binary: | ada_2.0-1.zip |
| Reference manual: | ada.pdf |