<?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>mirgll.r-universe.dev</title><link>https://mirgll.r-universe.dev</link><description>Recent package updates in mirgll</description><generator>R-universe</generator><image><url>https://github.com/mirgll.png</url><title>R packages by mirgll</title><link>https://mirgll.r-universe.dev</link></image><lastBuildDate>Tue, 12 May 2026 11:37:32 GMT</lastBuildDate><item><title>[mirgll] PowRPriori 0.2.0</title><author>markus.grill@uni-wh.de (Markus Grill)</author><description>Conduct a priori power analyses via Monte-Carlo style data
simulation for linear and generalized linear mixed-effects
models (LMMs/GLMMs). Provides a user-friendly workflow with
helper functions to easily define fixed and random effects as
well as diagnostic functions to evaluate the adequacy of the
results of the power analysis.</description><link>https://github.com/r-universe/mirgll/actions/runs/25740561637</link><pubDate>Tue, 12 May 2026 11:37:32 GMT</pubDate><r:package>PowRPriori</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://mirgll.r-universe.dev</r:repository><r:upstream>https://github.com/mirgll/powrpriori</r:upstream><r:article><r:source>Workflow-Example.Rmd</r:source><r:filename>Workflow-Example.html</r:filename><r:title>Power Analysis with PowRPriori: A Complete Workflow with Different Examples</r:title><r:created>2025-09-29 10:50:31</r:created><r:modified>2026-04-28 07:26:42</r:modified></r:article></item></channel></rss>