<?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>reubenthomas.r-universe.dev</title><link>https://reubenthomas.r-universe.dev</link><description>Recent package updates in reubenthomas</description><generator>R-universe</generator><image><url>https://github.com/reubenthomas.png</url><title>R packages by reubenthomas</title><link>https://reubenthomas.r-universe.dev</link></image><lastBuildDate>Sat, 06 Jun 2026 16:50:02 GMT</lastBuildDate><item><title>[reubenthomas] RMeDPower2 1.0.2</title><author>reuben.thomas@gladstone.ucsf.edu (Reuben Thomas)</author><description>Provides complete functionality to analyse data from
repeated measures experiments with hierarchical or crossed
experimental designs. Supports testing modeling assumptions,
identifying outlier observations and experimental units,
estimating statistical power, and performing sample size
calculations. Uses linear mixed effects models via 'lme4' and
simulation-based power analysis via 'simr'. Handles both normal
and non-normal error distributions including binomial and
Poisson families. For more details see Shin et al. (2022)
&lt;doi:10.1101/2022.07.18.500490&gt;, Bates et al. (2015)
&lt;doi:10.18637/jss.v067.i01&gt;, Green and MacLeod (2016)
&lt;doi:10.1111/2041-210X.12504&gt;, Hartig (2024)
&lt;doi:10.32614/CRAN.package.DHARMa&gt;, Nieuwenhuis et al. (2012)
&lt;doi:10.32614/RJ-2012-011&gt;, Millard (2013)
&lt;doi:10.1007/978-1-4614-8456-1&gt; and Kuznetsova et al. (2017)
&lt;doi:10.18637/jss.v082.i13&gt;.</description><link>https://github.com/r-universe/reubenthomas/actions/runs/27074399267</link><pubDate>Sat, 06 Jun 2026 16:50:02 GMT</pubDate><r:package>RMeDPower2</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://reubenthomas.r-universe.dev</r:repository><r:upstream>https://github.com/cran/RMeDPower2</r:upstream><r:article><r:source>ShortTutorial.Rmd</r:source><r:filename>ShortTutorial.html</r:filename><r:title>RMeDPower2: helping design and analyses of data from repeated measures experiments</r:title><r:created>2026-05-07 17:12:04</r:created><r:modified>2026-05-07 17:12:04</r:modified></r:article></item></channel></rss>