Package: GAMens
Type: Package
Title: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for
        Binary Classification
Version: 1.2
Date: 2016-02-26
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <K.DeBock@ieseg.fr>
Depends: R (>= 2.4.0), splines, gam, mlbench, caTools
Description: Ensemble classifiers based upon generalized additive models for binary
    classification (De Bock et al. (2010) <DOI:10.1016/j.csda.2009.12.013>). The ensembles
    implement Bagging (Breiman (1996) <DOI:10.1023/A:1018054314350>), the Random Subspace Method (Ho (1998) <DOI:10.1109/34.709601>), 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.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-01 18:33:17 UTC; k.debock
Repository: CRAN
Date/Publication: 2016-03-02 01:56:37
