# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "glmmsel" in publications use:' type: software license: GPL-3.0-only title: 'glmmsel: Generalised Linear Mixed Model Selection' version: 1.0.3 identifiers: - type: doi value: 10.32614/CRAN.package.glmmsel abstract: Provides tools for fitting sparse generalised linear mixed models with l0 regularisation. Selects fixed and random effects under the hierarchy constraint that fixed effects must precede random effects. Uses coordinate descent and local search algorithms to rapidly deliver near-optimal estimates. Gaussian and binomial response families are currently supported. For more details see Thompson, Wand, and Wang (2025) . authors: - family-names: Thompson given-names: Ryan email: ryan.thompson-1@uts.edu.au orcid: https://orcid.org/0000-0002-9002-0448 preferred-citation: type: article title: Subset selection in linear mixed models authors: - family-names: Thompson given-names: Ryan email: ryan.thompson-1@uts.edu.au orcid: https://orcid.org/0000-0002-9002-0448 - family-names: Wand given-names: Matt P - family-names: Wang given-names: Joanna J J journal: arXiv:2506.20425 year: '2025' repository: https://ryan-thompson.r-universe.dev repository-code: https://github.com/ryan-thompson/glmmsel commit: c7e3dc3fa5cc7b182098a4ba61df5edf0fd081ab url: https://github.com/ryan-thompson/glmmsel date-released: '2025-06-26' contact: - family-names: Thompson given-names: Ryan email: ryan.thompson-1@uts.edu.au orcid: https://orcid.org/0000-0002-9002-0448