<?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>kuan-liu.r-universe.dev</title><link>https://kuan-liu.r-universe.dev</link><description>Recent package updates in kuan-liu</description><generator>R-universe</generator><image><url>https://github.com/kuan-liu.png</url><title>R packages by kuan-liu</title><link>https://kuan-liu.r-universe.dev</link></image><lastBuildDate>Thu, 19 Jun 2025 21:27:56 GMT</lastBuildDate><item><title>[kuan-liu-lab] bayesmsm 1.0.0</title><author>kuan.liu@utoronto.ca (Kuan Liu)</author><description>Implements Bayesian marginal structural models for causal
effect estimation with time-varying treatment and confounding.
It includes an extension to handle informative right censoring.
The Bayesian importance sampling weights are estimated using
JAGS. See Saarela (2015) &lt;doi:10.1111/biom.12269&gt; for
methodological details.</description><link>https://github.com/r-universe/kuan-liu-lab/actions/runs/38887783245</link><pubDate>Thu, 19 Jun 2025 21:27:56 GMT</pubDate><r:package>bayesmsm</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://kuan-liu-lab.r-universe.dev</r:repository><r:upstream>https://github.com/kuan-liu-lab/bayesmsm</r:upstream><r:article><r:source>bayesmsm-censoring.Rmd</r:source><r:filename>bayesmsm-censoring.html</r:filename><r:title>bayesmsm for longitudinal data with informative right-censoring</r:title><r:created>2024-10-21 22:38:09</r:created><r:modified>2025-06-13 21:25:45</r:modified></r:article><r:article><r:source>bayesmsm-nocensoring.Rmd</r:source><r:filename>bayesmsm-nocensoring.html</r:filename><r:title>bayesmsm for longitudinal data without right-censoring</r:title><r:created>2024-10-08 08:18:30</r:created><r:modified>2025-06-13 21:25:45</r:modified></r:article></item></channel></rss>