Package: GAMens
Title: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for
        Binary Classification
Version: 1.2.1
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <kdebock@audencia.com>
Depends: R (>= 2.4.0), splines, gam, mlbench, caTools
Description: Implements the GAMbag, GAMrsm and GAMens ensemble
        classifiers 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:1010933404324>, the
        Random Subspace Method (Ho, 1998) <doi:10.1109/34.709601> , or
        both, and use Hastie and Tibshirani's (1990,
        ISBN:978-0412343902) 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)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-07-04 01:45:00 UTC; root
Repository: https://koendebock.r-universe.dev
Date/Publication: 2018-04-05 16:12:34 UTC
RemoteUrl: https://github.com/cran/GAMens
RemoteRef: HEAD
RemoteSha: 5934bc5277535d1c7901acee7576e21314940dc3