Package: GAMens
Title: Applies GAMbag, GAMrsm and GAMens ensemble classifiers for
binary classification
Version: 1.1.2
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <Koen.DeBock@UGent.be>
Depends: R (>= 2.4.0), splines, akima, gam, mlbench, caTools
Description: 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.
License: GPL (>= 2)
Packaged: 2012-03-15 16:06:23 UTC; k.debock
Repository: CRAN
Date/Publication: 2012-03-15 17:00:16

Package: GAMens
Title: Applies GAMbag, GAMrsm and GAMens ensemble classifiers for
binary classification
Version: 1.1.3
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, akima, gam, mlbench, caTools
Description: 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.
License: GPL (>= 2)
Packaged: 2012-03-28 19:48:53 UTC; k.debock
Repository: CRAN
Date/Publication: 2012-03-28 21:23:23

Package: GAMens
Title: Applies GAMbag, GAMrsm and GAMens ensemble classifiers for
binary classification
Version: 1.1
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <Koen.DeBock@UGent.be>
Depends: R (>= 2.4.0), splines, akima, gam
Description: 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.
License: GPL (>= 2)
Packaged: Tue Feb 2 16:43:23 2010; kwdebock
Repository: CRAN
Date/Publication: 2010-02-03 10:09:05