GAMens: Applies GAMbag, GAMrsm and GAMens ensemble classifiers for
binary classification
This package implements the GAMbag, GAMrsm and GAMens
ensemble classifiers for binary classification (De Bock et al.,
2010). The ensembles implement Bagging (Breiman, 1996), the
Random Subspace Method (Ho, 1998), or both, and use Hastie and
Tibshirani's (1990) generalized additive models (GAMs) as base
classifiers. Once an ensemble classifier has been trained, it
can be used for predictions on new data. A function for cross
validation is also included.
| Version: |
1.1.1 |
| Depends: |
R (≥ 2.4.0), splines, akima, gam |
| Published: |
2010-02-25 |
| Author: |
Koen W. De Bock, Kristof Coussement and Dirk Van den Poel |
| Maintainer: |
Koen W. De Bock <Koen.DeBock at UGent.be> |
| License: |
GPL (≥ 2) |
| Citation: |
GAMens citation info |
| CRAN checks: |
GAMens results |
Downloads:
Reverse dependencies: