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GAMens
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]
[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 07 Mar. 2026.
Previous versions and publish date:
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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