<?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>sschildhauer.r-universe.dev</title><link>https://sschildhauer.r-universe.dev</link><description>Recent package updates in sschildhauer</description><generator>R-universe</generator><image><url>https://github.com/sschildhauer.png</url><title>R packages by sschildhauer</title><link>https://sschildhauer.r-universe.dev</link></image><lastBuildDate>Thu, 24 Sep 2026 18:01:39 GMT</lastBuildDate><item><title>[ucd-serg] serodynamics 0.1.0.9024</title><author>sschildhauer@ucdavis.edu (Samuel Schildhauer)</author><description>Implements Bayesian hierarchical models for estimating
antibody kinetic parameters from longitudinal serological data.
Fits two-phase within-host models capturing antibody rise,
peak, and decay following pathogen infection, using 'JAGS' for
posterior inference. Designed as the upstream companion to the
'serocalculator' package for end-to-end seroepidemiological
analysis. Methods are described in Teunis and colleagues (2016)
&lt;doi:10.1016/j.epidem.2016.04.001&gt; and Teunis and van Eijkeren
(2020) &lt;doi:10.1002/sim.8578&gt;.</description><link>https://github.com/r-universe/ucd-serg/actions/runs/37877085997</link><pubDate>Thu, 24 Sep 2026 18:01:39 GMT</pubDate><r:package>serodynamics</r:package><r:version>0.1.0.9024</r:version><r:status>success</r:status><r:repository>https://ucd-serg.r-universe.dev</r:repository><r:upstream>https://github.com/ucd-serg/serodynamics</r:upstream><r:article><r:source>dobson.Rmd</r:source><r:filename>dobson.html</r:filename><r:title>dobson</r:title><r:created>2025-02-17 08:36:04</r:created><r:modified>2025-02-18 06:37:22</r:modified></r:article></item></channel></rss>