Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification R package GAMens version 1.2.1 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. Software Depends: R (>= 2.4.0), splines, gam, mlbench, caTools Koen W. De Bock <kdebock@audencia.com> Comprehensive R Archive Network (CRAN) Koen W. De Bock, Kristof Coussement and Dirk Van den Poel GPL (>= 2) 2018-04-05 application/tgz https://CRAN.R-project.org/package=GAMens doi:10.32614/CRAN.package.GAMens