Package: powerbrmsINLA
Title: Bayesian Power Analysis Using 'brms' and 'INLA'
Version: 1.1.1
Maintainer: Tony Myers <admyers@aol.com>
Authors@R: person(given = "Tony",
                  family = "Myers", 
                  role = c("aut", "cre"),
                  email = "admyers@aol.com",
                  comment = c(ORCID = "0000-0003-4516-4829"))
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".
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Imports: brms (>= 2.19.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0),
        pbapply, rlang (>= 1.1.0), tibble (>= 3.2.0), scales (>=
        1.2.0), viridisLite (>= 0.4.0), stats, utils, magrittr (>=
        2.0.0)
Suggests: INLA (>= 22.05.07), testthat (>= 3.0.0), rmarkdown, MASS,
        circular, sn
URL: https://github.com/Tony-Myers/powerbrmsINLA
BugReports: https://github.com/Tony-Myers/powerbrmsINLA/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2025-11-16 19:13:30 UTC; tonymyers
Author: Tony Myers [aut, cre] (ORCID: <https://orcid.org/0000-0003-4516-4829>)
Repository: CRAN
Date/Publication: 2025-11-16 19:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 20:37:45 UTC; unix
