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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "rpql" in publications use:'
type: software
license: GPL-2.0-only
title: 'rpql: Regularized PQL for Joint Selection in GLMMs'
version: 0.8.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rpql
abstract: Performs joint selection in Generalized Linear Mixed Models (GLMMs) using
  penalized likelihood methods. Specifically, the Penalized Quasi-Likelihood (PQL)
  is used as a loss function, and penalties are then augmented to perform simultaneous
  fixed and random effects selection. Regularized PQL avoids the need for integration
  (or approximations such as the Laplace's method) during the estimation process,
  and so the full solution path for model selection can be constructed relatively
  quickly.
authors:
- family-names: Hui
  given-names: Francis
  email: fhui28@gmail.com
- family-names: Hui
  given-names: Francis K.C.
  email: francis.hui@gmail.com
- family-names: Mueller
  given-names: with contributions from Samuel
  email: samuel.mueller@sydney.edu.au
- family-names: Welsh
  given-names: A.H.
  email: Alan.Welsh@anu.edu.au
preferred-citation:
  type: manual
  title: 'rpql: Regularized PQL for Joint Selection in GLMMs'
  authors:
  - family-names: Hui
    given-names: Francis K. C.
  year: '2023'
  notes: R package version 0.8.1
repository: https://CRAN.R-project.org/package=rpql
date-released: '2023-08-01'
contact:
- family-names: Hui
  given-names: Francis
  email: fhui28@gmail.com
references:
- type: article
  title: Joint Selection in Mixed Models using Regularized PQL
  authors:
  - family-names: Hui
    given-names: Francis K. C.
  - family-names: Mueller
    given-names: Samuel
  - family-names: Welsh
    given-names: A. H.
  journal: Journal of the American Statistical Association
  year: '2017'
  volume: '112'
  start: '1323'
  end: '1333'