<?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>christiandudel.r-universe.dev</title><link>https://christiandudel.r-universe.dev</link><description>Recent package updates in christiandudel</description><generator>R-universe</generator><image><url>https://github.com/christiandudel.png</url><title>R packages by christiandudel</title><link>https://christiandudel.r-universe.dev</link></image><lastBuildDate>Fri, 26 Jun 2026 14:08:23 GMT</lastBuildDate><item><title>[christiandudel] dtms 0.4.4</title><author>dudel@demogr.mpg.de (Christian Dudel)</author><description>Discrete-time multistate models with a user-friendly
workflow. The package provides tools for processing data,
several ways of estimating parametric and nonparametric
multistate models, and an extensive set of Markov chain methods
which use transition probabilities derived from the multistate
model. Some of the implemented methods are described in
Schneider et al. (2024) &lt;doi:10.1080/00324728.2023.2176535&gt;,
Dudel (2021) &lt;doi:10.1177/0049124118782541&gt;, Dudel &amp; Myrskylä
(2020) &lt;doi:10.1186/s12963-020-00217-0&gt;, van den Hout (2017)
&lt;doi:10.1201/9781315374321&gt;.</description><link>https://github.com/r-universe/christiandudel/actions/runs/28253468318</link><pubDate>Fri, 26 Jun 2026 14:08:23 GMT</pubDate><r:package>dtms</r:package><r:version>0.4.4</r:version><r:status>success</r:status><r:repository>https://christiandudel.r-universe.dev</r:repository><r:upstream>https://github.com/christiandudel/dtms</r:upstream></item></channel></rss>