<?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>koekvall.r-universe.dev</title><link>https://koekvall.r-universe.dev</link><description>Recent package updates in koekvall</description><generator>R-universe</generator><image><url>https://github.com/koekvall.png</url><title>R packages by koekvall</title><link>https://koekvall.r-universe.dev</link></image><lastBuildDate>Fri, 23 Oct 2026 18:11:34 GMT</lastBuildDate><item><title>[koekvall] reconf 0.2.0</title><author>k.o.ekvall@gmail.com (Karl Oskar Ekvall)</author><description>Computes score-based confidence intervals and hypothesis
tests for variance and covariance parameters of random effects
in linear mixed models fitted with 'lme4'. The intervals invert
a profile score statistic on the variance-covariance scale,
with nuisance parameters estimated on an extended parameter
set. The intervals have near-nominal coverage uniformly in the
parameter, including near the boundary of the parameter space,
where Wald and likelihood ratio intervals can be unreliable.
The methods are described in Shedden and Ekvall (2026)
&lt;doi:10.48550/arXiv.2610.04181&gt;, building on Ekvall and Bottai
(2026) &lt;doi:10.1093/biomet/asaf079&gt;, Zhang, Ekvall, and Molstad
(2025) &lt;doi:10.1093/biomet/asaf010&gt;, and Ekvall and Bottai
(2022) &lt;doi:10.1214/22-AOS2177&gt;.</description><link>https://github.com/r-universe/koekvall/actions/runs/40005180888</link><pubDate>Fri, 23 Oct 2026 18:11:34 GMT</pubDate><r:package>reconf</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://koekvall.r-universe.dev</r:repository><r:upstream>https://github.com/koekvall/reconf</r:upstream><r:article><r:source>fev1-example.Rmd</r:source><r:filename>fev1-example.html</r:filename><r:title>Score-based confidence intervals for random effect covariance parameters: FEV1 example</r:title><r:created>2026-04-03 15:40:27</r:created><r:modified>2026-10-10 14:43:02</r:modified></r:article></item></channel></rss>