<?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>woodymiao.r-universe.dev</title><link>https://woodymiao.r-universe.dev</link><description>Recent package updates in woodymiao</description><generator>R-universe</generator><image><url>https://github.com/woodymiao.png</url><title>R packages by woodymiao</title><link>https://woodymiao.r-universe.dev</link></image><lastBuildDate>Wed, 30 Jul 2025 08:29:26 GMT</lastBuildDate><item><title>[woodymiao] GRAB 0.2.2</title><author>miaolin@pku.edu.cn (Woody Miao)</author><description>Provides a comprehensive suite of genome-wide association
study (GWAS) methods specifically designed for biobank-scale
data. The package offers computationally efficient and robust
association tests for time-to-event traits (e.g., Bi et al.,
2020 &lt;doi:10.1016/j.ajhg.2020.06.003&gt;), ordinal categorical
traits (e.g., Bi et al., 2021
&lt;doi:10.1016/j.ajhg.2021.03.019&gt;), and longitudinal traits (Xu
et al., 2025 &lt;doi:10.1038/s41467-025-56669-1&gt;). Additionally,
it includes functions for simulating genotype and phenotype
data to support research and method development.</description><link>https://github.com/r-universe/woodymiao/actions/runs/26565875723</link><pubDate>Wed, 30 Jul 2025 08:29:26 GMT</pubDate><r:package>GRAB</r:package><r:version>0.2.2</r:version><r:status>success</r:status><r:repository>https://woodymiao.r-universe.dev</r:repository><r:upstream>https://github.com/woodymiao/grab</r:upstream></item></channel></rss>