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BayesPower: Sample Size and Power Calculation for Bayesian Testing withBayes Factor

The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v1>.

Version:1.0.1
Imports:rlang,shiny,gsl,Rcpp,ExtDist,ggplot2,patchwork,rmarkdown,glue,hypergeo,rootSolve,shinyWidgets
LinkingTo:Rcpp,BH
Published:2025-10-29
DOI:10.32614/CRAN.package.BayesPower
Author:Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer:Tsz Keung Wong <t.k.wong3004 at gmail.com>
BugReports:https://github.com/tkWong3004/BayesPower/issues
License:GPL (≥ 3)
NeedsCompilation:yes
CRAN checks:BayesPower results

Documentation:

Reference manual:BayesPower.html ,BayesPower.pdf

Downloads:

Package source: BayesPower_1.0.1.tar.gz
Windows binaries: r-devel:BayesPower_1.0.1.zip, r-release:BayesPower_1.0.1.zip, r-oldrel:BayesPower_1.0.1.zip
macOS binaries: r-release (arm64):BayesPower_1.0.1.tgz, r-oldrel (arm64):BayesPower_1.0.1.tgz, r-release (x86_64):BayesPower_1.0.1.tgz, r-oldrel (x86_64):BayesPower_1.0.1.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=BayesPowerto link to this page.


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