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GAMens  

Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
View on CRAN: Click here


Download and install GAMens package within the R console
Install from CRAN:
install.packages("GAMens")

Install from Github:
library("remotes")
install_github("cran/GAMens")

Install by package version:
library("remotes")
install_version("GAMens", "1.2.1")



Attach the package and use:
library("GAMens")
Maintained by
Koen W. De Bock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-01-11
Latest Update: 2018-04-05
Description:
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, 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.
How to cite:
Koen W. De Bock (2010). GAMens: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification. R package version 1.2.1, https://cran.r-project.org/web/packages/GAMens. Accessed 18 Sep. 2026.
Previous versions and publish date:
1.0 (2010-01-11 12:11), 1.1.1 (2010-02-25 12:29), 1.1.2 (2012-03-15 18:00), 1.1.3 (2012-03-28 23:23), 1.1 (2010-02-03 11:09), 1.2 (2016-03-02 01:56), (2026-07-09 08:04)
Other packages that cited GAMens R package
View GAMens citation profile
Other R packages that GAMens depends, imports, suggests or enhances
Complete documentation for GAMens
Functions, R codes and Examples using the GAMens R package
Some associated functions: GAMens.cv . GAMens . predict.GAMens . 
Some associated R codes: GAMens.R . GAMens.cv.R . predict.GAMens.R .  Full GAMens package functions and examples
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