Package: l0ara
Type: Package
Title: Sparse Generalized Linear Model with L0 Approximation for
        Feature Selection
Version: 0.1.7
Date: 2026-04-25
Authors@R: c(
    person("Wenchuan", "Guo", email = "wguo1017@gmail.com", role = c("aut", "cre")),
    person("Shujie", "Ma", role = "aut"),
    person("Zhenqiu", "Liu", role = "aut")
    )
Description: Fits sparse generalized linear models using an adaptive
        ridge approximation to an L0 penalty. Supported model families
        include Gaussian, logistic, Poisson, gamma, and inverse
        Gaussian regression. The package also provides cross-validation
        for selecting the penalty parameter.
License: GPL-2
Imports: Rcpp (>= 0.12.6)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-10-01 09:51:30 UTC; root
Author: Wenchuan Guo [aut, cre], Shujie Ma [aut], Zhenqiu Liu [aut]
Maintainer: Wenchuan Guo <wguo1017@gmail.com>
Repository: https://wgost.r-universe.dev
Date/Publication: 2026-04-27 09:33:50 UTC
RemoteUrl: https://github.com/cran/l0ara
RemoteRef: HEAD
RemoteSha: 1cb2c0bf3deb6974238ad7b0c812d9c2aff467cd