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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sglssnal" in publications use:'
type: software
license: MIT
title: 'sglssnal: Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sglssnal
abstract: Implements the sparse-group lasso method of Zhang et al. (2020) <https://doi.org/10.1007/s10107-018-1329-6>.
  Unlike many widely available methods based on first-order descent, this method uses
  second-order information to solve the dual optimization problem via a semismooth
  Newton method.
authors:
- family-names: Liu
  given-names: Robin
  email: robin28liu@gmail.com
preferred-citation:
  type: manual
  title: 'sglssnal: Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian'
  authors:
  - family-names: Liu
    given-names: Robin
    email: robin28liu@gmail.com
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/roobnloo/sglssnal
repository: https://roobnloo.r-universe.dev
repository-code: https://github.com/roobnloo/sglssnal
commit: 3520f5fa9a0fd1e0bf854d4ac60049652d0088a6
url: https://github.com/roobnloo/sglssnal
date-released: '2026-08-31'
contact:
- family-names: Liu
  given-names: Robin
  email: robin28liu@gmail.com
references:
- type: article
  title: An efficient Hessian based algorithm for solving large-scale sparse group
    Lasso problems
  authors:
  - family-names: Zhang
    given-names: Yangjing
  - family-names: Zhang
    given-names: Ning
  - family-names: Sun
    given-names: Defeng
  - family-names: Toh
    given-names: Kim-Chuan
  journal: Mathematical Programming
  year: '2020'
  volume: '179'
  doi: 10.1007/s10107-018-1329-6
  start: '223'
  end: '263'