2025/10/21 by Tsz Keung Wong, Samuel Pawel, Jorge N. Tendeiro · 1 voice
Computer Science · #Advanced Statistical Modeling Techniques
paper · doi:10.31234/osf.io/pgdac_v1
openalex publication_date 2025/10/21 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/15
BayesPower is an R package with a user-friendly Shiny interface for conducting sample size determination, power calculation, and Bayes factor calculation in the context of Bayesian hypothesis testing without the use of simulation. The app supports a wide range of commonly encountered statistical tests in the social, behavioral, and biomedical sciences, including standardized mean differences, correlations, linear regression and ANOVA, as well as tests for one and two proportions. In addition to traditional point null hypothesis versus composite alternative hypothesis, BayesPower supports sample size planning for interval hypothesis Bayes factors (i.e., equivalence testing). Moreover, the Shiny app provides command-line-based R code for the reproducibility of results. For most testing problems, the sample size and power are returned almost instantly, enabling researchers to rapidly design informative and efficient studies.