GAMens v1.2.1

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Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification

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.

Functions in GAMens

Name Description
GAMens Applies the GAMbag, GAMrsm or GAMens ensemble classifier to a data set
GAMens.cv Runs v-fold cross validation with GAMbag, GAMrsm or GAMens ensemble classifier
predict.GAMens Predicts from a fitted GAMens object (i.e., GAMbag, GAMrsm or GAMens classifier).
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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

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