Package 'powerbrmsINLA'
| Title: |
Bayesian Power Analysis Using 'brms' and 'INLA' |
| Description: |
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". |
| Authors: |
Tony Myers [aut, cre] (ORCID: <https://orcid.org/0000-0003-4516-4829>) |
| Maintainer: |
Tony Myers <[email protected]> |
| License: |
MIT + file LICENSE |
| Version: |
1.2.0 |
| Built: |
2026-06-03 11:07:05 UTC |
| Source: |
https://github.com/tony-myers/powerbrmsinla |
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