BayesPower: Sample Size and Power Calculation for Bayesian Testing with Bayes 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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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:

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