GAMens

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

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'GAMens' ...
** package 'GAMens' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'GAMens'
    finding HTML links ... done
    GAMens                                  html  
    GAMens.cv                               html  
    predict.GAMens                          html  
** building package indices
** testing if installed package can be loaded
* DONE (GAMens)
Making 'packages.html' ... done