<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>tkwong3004.r-universe.dev</title><link>https://tkwong3004.r-universe.dev</link><description>Recent package updates in tkwong3004</description><generator>R-universe</generator><image><url>https://github.com/tkwong3004.png</url><title>R packages by tkwong3004</title><link>https://tkwong3004.r-universe.dev</link></image><lastBuildDate>Mon, 13 Apr 2026 14:12:13 GMT</lastBuildDate><item><title>[tkwong3004] BayesPower 1.0.4</title><author>t.k.wong3004@gmail.com (Tsz Keung Wong)</author><description>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)
&lt;doi:10.31234/osf.io/pgdac_v3&gt;.</description><link>https://github.com/r-universe/tkwong3004/actions/runs/25790500852</link><pubDate>Mon, 13 Apr 2026 14:12:13 GMT</pubDate><r:package>BayesPower</r:package><r:version>1.0.4</r:version><r:status>success</r:status><r:repository>https://tkwong3004.r-universe.dev</r:repository><r:upstream>https://github.com/cran/BayesPower</r:upstream></item></channel></rss>