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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:

Please use the canonical form https://CRAN.R-project.org/package=BayesPower 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.