The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
swaglm: Fast Sparse Wrapper Algorithm for Generalized Linear Models and
Testing Procedures for Network of Highly Predictive Variables
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.
| Version: |
0.0.1 |
| Imports: |
Rcpp, fastglm, stats, igraph, gdata, plyr, progress, DescTools, scales, fields |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, MASS, rmarkdown |
| Published: |
2025-09-18 |
| DOI: |
10.32614/CRAN.package.swaglm |
| Author: |
Lionel Voirol 
[aut, cre],
Yagmur Ozdemir [aut] |
| Maintainer: |
Lionel Voirol <lionelvoirol at hotmail.com> |
| License: |
AGPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
swaglm results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=swaglm
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.