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: 2018-04-05 14:33:36 UTC; kdebock
Repository: CRAN
Date/Publication: 2018-04-05 17:12:34 UTC
Built: R 4.6.0; ; 2026-04-27 09:32:42 UTC; unix
