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: 2026-10-14 07:48:08 UTC; root
Author: Lionel Voirol [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1696-1407>), Yagmur Ozdemir [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Config/pak/sysreqs: cmake libglpk-dev make libuv1-dev libxml2-dev
        libssl-dev libx11-dev zlib1g-dev
Repository: https://lionelvoirol.r-universe.dev
Date/Publication: 2025-09-18 08:50:02 UTC
RemoteUrl: https://github.com/cran/swaglm
RemoteRef: HEAD
RemoteSha: 3a4e82447856aec0426377a487bb2f05eed2eeb9