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# CITATION 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 "glmmFEL" in publications use:'
type: software
license: GPL-3.0-only
title: 'glmmFEL: Generalized Linear Mixed Models via Fully Exponential Laplace in
  EM'
version: 1.0.5
identifiers:
- type: doi
  value: 10.32614/CRAN.package.glmmFEL
abstract: Fit generalized linear mixed models (GLMMs) with normal random effects using
  first-order Laplace, fully exponential Laplace (FEL) with mean-only corrections,
  and FEL with mean and covariance corrections in the E-step of an expectation-maximization
  (EM) algorithm. The current development version provides a matrix-based interface
  (y, X, Z) and supports binary logit and probit, and Poisson log-link models. An
  EM framework is used to update fixed effects, random effects, and a single variance
  component tau^2 for G = tau^2 I, with staged approximations (Laplace -> FEL mean-only
  -> FEL full) for efficiency and stability. A pseudo-likelihood engine glmmFEL_pl()
  implements the working-response / working-weights linearization approach of Wolfinger
  and O'Connell (1993) <https://doi.org/10.1080/00949659308811554>, and is adapted
  from the implementation used in the 'RealVAMS' package (Broatch, Green, and Karl
  (2018)) <https://doi.org/10.32614/RJ-2018-033>. The FEL implementation follows Karl,
  Yang, and Lohr (2014) <https://doi.org/10.1016/j.csda.2013.11.019> and related work
  (e.g., Tierney, Kass, and Kadane (1989) <https://doi.org/10.1080/01621459.1989.10478824>;
  Rizopoulos, Verbeke, and Lesaffre (2009) <https://doi.org/10.1111/j.1467-9868.2008.00704.x>;
  Steele (1996) <https://doi.org/10.2307/2532845>). Package code was drafted with
  assistance from generative AI tools.
authors:
- family-names: Karl
  given-names: Andrew T.
  email: akarl@asu.edu
  orcid: https://orcid.org/0000-0002-5933-8706
preferred-citation:
  type: manual
  title: 'glmmFEL: Generalized Linear Mixed Models via Fully Exponential Laplace in
    EM'
  authors:
  - family-names: Karl
    given-names: Andrew T.
    email: akarl@asu.edu
    orcid: https://orcid.org/0000-0002-5933-8706
  year: '2026'
  notes: R package version 1.0.5
repository: https://akarl46556.r-universe.dev
commit: 7a090329db43273387531f4c04747f41b480f2f6
date-released: '2026-01-07'
contact:
- family-names: Karl
  given-names: Andrew T.
  email: akarl@asu.edu
  orcid: https://orcid.org/0000-0002-5933-8706
references:
- type: article
  title: Computation of maximum likelihood estimates for multiresponse generalized
    linear mixed models with non-nested, correlated random effects
  authors:
  - family-names: Karl
    given-names: Andrew T.
  - family-names: Yang
    given-names: 'Y'
  - family-names: Lohr
    given-names: Sharon L.
  journal: Computational Statistics & Data Analysis
  year: '2014'
  volume: '73'
  doi: 10.1016/j.csda.2013.11.019
  start: '146'
  end: '162'