Package: SSGL
Type: Package
Title: Spike-and-Slab Group Lasso for Group-Regularized Generalized
        Linear Models
Version: 2.0
Authors@R: person(given = "Ray",
                  family = "Bai",
                  role = c("aut", "cre"),
                  email = "raybaistat@gmail.com")
Author: Ray Bai [aut, cre]
Maintainer: Ray Bai <raybaistat@gmail.com>
Description: Fits group-regularized generalized linear models (GLMs)
        using the spike-and-slab group lasso (SSGL) prior of Bai et al.
        (2022) <doi:10.1080/01621459.2020.1765784> and extended to GLMs
        by Bai (2023) <doi:10.48550/arXiv.2007.07021>. This package
        supports fitting the SSGL model for the following GLMs with
        group sparsity: Gaussian linear regression, binary logistic
        regression, and Poisson regression.
License: GPL-3
Depends: R (>= 3.6.0)
Imports: grpreg, stats, caret, parallel, doParallel, doRNG, foreach,
        MASS, Matrix, GIGrvg, BayesLogit
NeedsCompilation: yes
Packaged: 2026-10-03 10:33:43 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-24 21:10:02 UTC
RemoteUrl: https://github.com/cran/SSGL
RemoteRef: HEAD
RemoteSha: 2bdabe0fa467d3c8e3e3f237d8bae5e64ffffe49