The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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".

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: brms (≥ 2.19.0), dplyr (≥ 1.1.0), ggplot2 (≥ 3.4.0), 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
Published: 2025-09-01
DOI: 10.32614/CRAN.package.powerbrmsINLA
Author: Tony Myers ORCID iD [aut, cre]
Maintainer: Tony Myers <admyers at aol.com>
BugReports: https://github.com/Tony-Myers/powerbrmsINLA/issues
License: MIT + file LICENSE
URL: https://github.com/Tony-Myers/powerbrmsINLA
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/stable
Materials: README
CRAN checks: powerbrmsINLA results

Documentation:

Reference manual: powerbrmsINLA.html , powerbrmsINLA.pdf

Downloads:

Package source: powerbrmsINLA_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): powerbrmsINLA_1.0.0.tgz, r-oldrel (x86_64): powerbrmsINLA_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=powerbrmsINLA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.