<?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>dandantang0.r-universe.dev</title><link>https://dandantang0.r-universe.dev</link><description>Recent package updates in dandantang0</description><generator>R-universe</generator><image><url>https://github.com/dandantang0.png</url><title>R packages by dandantang0</title><link>https://dandantang0.r-universe.dev</link></image><lastBuildDate>Wed, 03 Dec 2025 03:28:44 GMT</lastBuildDate><item><title>[dandantang0] Romeb 0.1.2</title><author>tangdd20@gmail.com (Dandan Tang)</author><description>Implements robust median-based Bayesian growth curve
models that handle Missing Completely at Random (MCAR), Missing
At Random (MAR), and Missing Not At Random (MNAR) missing-data
mechanisms, and allow auxiliary variables. Models are fitted
via 'rjags' (interface to 'JAGS') and summarized with 'coda'.</description><link>https://github.com/r-universe/dandantang0/actions/runs/28919200500</link><pubDate>Wed, 03 Dec 2025 03:28:44 GMT</pubDate><r:package>Romeb</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://dandantang0.r-universe.dev</r:repository><r:upstream>https://github.com/dandantang0/romeb</r:upstream><r:article><r:source>romeb-intro.Rmd</r:source><r:filename>romeb-intro.html</r:filename><r:title>Romeb Package: An Introduction</r:title><r:created>2025-11-12 22:05:00</r:created><r:modified>2025-11-12 22:05:00</r:modified></r:article></item></channel></rss>