powerbrmsINLA - Bayesian Power Analysis Using 'brms' and 'INLA'
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) <doi:10.1177/0272989X0102100307> "Bayesian
Assessment of Sample Size for Clinical Trials of
Cost-Effectiveness", Kruschke (2018)
<doi:10.1177/2515245918771304> "Rejecting or Accepting
Parameter Values in Bayesian Estimation", Rue et al. (2009)
<doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian
inference for latent Gaussian models by using integrated nested
Laplace approximations", and Bürkner (2017)
<doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian
Multilevel Models using Stan".