GAMens (1.1)
Applies GAMbag, GAMrsm and GAMens ensemble classifiers for binary classification.
http://cran.r-project.org/web/packages/GAMens
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.
Maintainer:
Koen W. De Bock
Author(s): Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
License: GPL (>= 2)
Uses: akima, gam
Reverse suggests: caret
Released over 3 years ago.
