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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "SSGL" in publications use:'
type: software
license: GPL-3.0-only
title: 'SSGL: Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear
  Models'
version: '1.0'
doi: 10.32614/CRAN.package.SSGL
abstract: 'Fits group-regularized generalized linear models (GLMs) using the spike-and-slab
  group lasso (SSGL) prior introduced by Bai et al. (2022) <https://doi.org/10.1080/01621459.2020.1765784>
  and extended to GLMs by Bai (2023) <arXiv:2007.07021>. This package supports fitting
  the SSGL model for the following GLMs with group sparsity: Gaussian linear regression,
  binary logistic regression, Poisson regression, negative binomial regression, and
  gamma regression. Stand-alone functions for group-regularized negative binomial
  regression and group-regularized gamma regression are also available, with the option
  of employing the group lasso penalty of Yuan and Lin (2006) <https://doi.org/10.1111/j.1467-9868.2005.00532.x>,
  the group minimax concave penalty (MCP) of Breheny and Huang <https://doi.org/10.1007/s11222-013-9424-2>,
  or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang
  (2015) <https://doi.org/10.1007/s11222-013-9424-2>.'
authors:
- family-names: Bai
  given-names: Ray
  email: raybaistat@gmail.com
repository: https://CRAN.R-project.org/package=SSGL
date-released: '2023-06-25'
contact:
- family-names: Bai
  given-names: Ray
  email: raybaistat@gmail.com