Package: swaglm
Title: Fast Sparse Wrapper Algorithm for Generalized Linear Models and
        Testing Procedures for Network of Highly Predictive Variables
Version: 0.0.1
Authors@R: c(
    person("Lionel", "Voirol", email = "lionelvoirol@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1696-1407")),
    person("Yagmur", "Ozdemir", role = "aut")
    )
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.
License: AGPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, fastglm, stats, igraph, gdata, plyr, progress,
        DescTools, scales, fields
Suggests: knitr, MASS, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-14 08:03:00 UTC; lionel
Author: Lionel Voirol [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1696-1407>),
  Yagmur Ozdemir [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-30 17:30:01 UTC; unix
Archs: swaglm.so.dSYM
