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swaglm  

Fast Sparse Wrapper Algorithm for Generalized Linear Models and Testing Procedures for Network of Highly Predictive Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("swaglm", "0.0.1")



Attach the package and use:
library("swaglm")
Maintained by
Lionel Voirol
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-18
Latest Update: 2025-09-18
Description:
Provides a fast implementation of the SWAG algorithm for Generalized Linear Models which allows to perform a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. The package then performs test on the network of selected models to identify the variables that are highly predictive by using entropy-based network measures.
How to cite:
Lionel Voirol (2025). swaglm: Fast Sparse Wrapper Algorithm for Generalized Linear Models and Testing Procedures for Network of Highly Predictive Variables. R package version 0.0.1, https://cran.r-project.org/web/packages/swaglm. Accessed 25 Oct. 2026.
Previous versions and publish date:
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