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: 2025-03-24 20:58:23 UTC; Ray Bai
Repository: CRAN
Date/Publication: 2025-03-24 21:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 17:12:48 UTC; unix
