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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 "INLAvaan" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'INLAvaan: Approximate Bayesian Latent Variable Analysis'
version: 0.2.4.9001
doi: 10.48550/arXiv.2603.25690
identifiers:
- type: doi
  value: 10.32614/CRAN.package.INLAvaan
abstract: Implements approximate Bayesian inference for Structural Equation Models
  (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation (Rue
  et al., 2009) <https://doi.org/10.1111/j.1467-9868.2008.00700.x> as described in
  Jamil and Rue (2026a) <https://doi.org/10.48550/arXiv.2603.25690>. Provides a computationally
  efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation,
  allowing users to fit latent variable models using the 'lavaan' syntax. See also
  the companion paper on implementation and workflows, Jamil and Rue (2026b) <https://doi.org/10.48550/arXiv.2604.00671>.
authors:
- family-names: Jamil
  given-names: Haziq
  email: haziq.jamil@gmail.com
  orcid: https://orcid.org/0000-0003-3298-1010
preferred-citation:
  type: generic
  title: Approximate Bayesian inference for structural equation models using integrated
    nested Laplace approximations
  authors:
  - family-names: Jamil
    given-names: Haziq
    email: haziq.jamil@gmail.com
    orcid: https://orcid.org/0000-0003-3298-1010
  - family-names: Rue
    given-names: Håvard
  year: '2026'
  issue: 2603.25690 [stat.ME]
  publisher:
    name: arXiv
  doi: 10.48550/arXiv.2603.25690
  copyright: Creative Commons Attribution Non Commercial Share Alike 4.0 International
repository: https://haziqj.r-universe.dev
repository-code: https://github.com/haziqj/INLAvaan
commit: f1dd9ee77b213f0061639a252a674be381a50a2c
url: https://inlavaan.haziqj.ml/
date-released: '2026-05-02'
contact:
- family-names: Jamil
  given-names: Haziq
  email: haziq.jamil@gmail.com
  orcid: https://orcid.org/0000-0003-3298-1010
references:
- type: generic
  title: Implementation and workflows for INLA-based approximate Bayesian structural
    equation modelling
  authors:
  - family-names: Jamil
    given-names: Haziq
  - family-names: Rue
    given-names: Håvard
  year: '2026'
  issue: 2604.00671 [stat.CO]
  publisher:
    name: arXiv
  doi: 10.48550/arXiv.2604.00671
  copyright: Creative Commons Attribution Non Commercial Share Alike 4.0 International