<?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>xiaoxiandadada.r-universe.dev</title><link>https://xiaoxiandadada.r-universe.dev</link><description>Recent package updates in xiaoxiandadada</description><generator>R-universe</generator><image><url>https://github.com/xiaoxiandadada.png</url><title>R packages by xiaoxiandadada</title><link>https://xiaoxiandadada.r-universe.dev</link></image><lastBuildDate>Wed, 03 Sep 2025 08:40:26 GMT</lastBuildDate><item><title>[xiaoxiandadada] CoxMK 0.1.1</title><author>yangchen5@stu.scu.edu.cn (Yang Chen)</author><description>A genome-wide survival framework that integrates
sequential conditional independent tuples and saddlepoint
approximation method, to provide SNP-level false discovery rate
control while improving power, particularly for biobank-scale
survival analyses with low event rates. The method is based on
model-X knockoffs as described in Barber and Candes (2015)
&lt;doi:10.1214/15-AOS1337&gt; and fast survival analysis methods
from Bi et al. (2020) &lt;doi:10.1016/j.ajhg.2020.06.003&gt;. A
shrinkage algorithmic leveraging accelerates multiple knockoffs
generation in large genetic cohorts. This CRAN version uses
standard Cox regression for association testing. For enhanced
performance on very large datasets, users may optionally
install the 'SPACox' package from GitHub which provides
saddlepoint approximation methods for survival analysis.</description><link>https://github.com/r-universe/xiaoxiandadada/actions/runs/26751545473</link><pubDate>Wed, 03 Sep 2025 08:40:26 GMT</pubDate><r:package>CoxMK</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://xiaoxiandadada.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CoxMK</r:upstream></item></channel></rss>