# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "powerbrmsINLA" in publications use:'
type: software
license: MIT
title: 'powerbrmsINLA: Bayesian Power Analysis Using ''brms'' and ''INLA'''
version: 1.2.0
doi: 10.32614/CRAN.package.powerbrmsINLA
abstract: 'Provides tools for Bayesian power analysis and assurance calculations using
  the statistical frameworks of ''brms'' and ''INLA''. Includes simulation-based approaches,
  support for multiple decision rules (direction, threshold, ROPE), sequential designs,
  and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880)
  "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O''Hagan & Stevens
  (2001) <https://doi.org/10.1177/0272989X0102100307> "Bayesian Assessment of Sample
  Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <https://doi.org/10.1177/2515245918771304>
  "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009)
  <https://doi.org/10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference
  for latent Gaussian models by using integrated nested Laplace approximations", and
  Bürkner (2017) <https://doi.org/10.18637/jss.v080.i01> "brms: An R Package for Bayesian
  Multilevel Models using Stan".'
authors:
- family-names: Myers
  given-names: Tony
  email: admyers@aol.com
  orcid: https://orcid.org/0000-0003-4516-4829
repository: https://tony-myers.r-universe.dev
repository-code: https://github.com/Tony-Myers/powerbrmsINLA
commit: 18744f1a133bb07456230738f4694e6f0d6fd7f1
url: https://github.com/Tony-Myers/powerbrmsINLA
date-released: '2026-06-03'
contact:
- family-names: Myers
  given-names: Tony
  email: admyers@aol.com
  orcid: https://orcid.org/0000-0003-4516-4829