<?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>jpfox00.r-universe.dev</title><link>https://jpfox00.r-universe.dev</link><description>Recent package updates in jpfox00</description><generator>R-universe</generator><image><url>https://github.com/jpfox00.png</url><title>R packages by jpfox00</title><link>https://jpfox00.r-universe.dev</link></image><lastBuildDate>Thu, 18 Sep 2025 12:40:08 GMT</lastBuildDate><item><title>[jpfox00] GLMMRR 0.6.0</title><author>jpfox00@gmail.com (Jean-Paul Fox)</author><description>Generalized Linear Mixed Model (GLMM) for Binary
Randomized Response Data. Includes Cauchit, Compl. Log-Log,
Logistic, and Probit link functions for Bernoulli Distributed
RR data. RR Designs: Warner, Forced Response, Unrelated
Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P,
Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed
Models for Randomized Responses. Methodology.
&lt;doi:10.1027/1614-2241/a000153&gt;.</description><link>https://github.com/r-universe/jpfox00/actions/runs/29480436006</link><pubDate>Thu, 18 Sep 2025 12:40:08 GMT</pubDate><r:package>GLMMRR</r:package><r:version>0.6.0</r:version><r:status>success</r:status><r:repository>https://jpfox00.r-universe.dev</r:repository><r:upstream>https://github.com/cran/GLMMRR</r:upstream></item></channel></rss>