<?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>ytonghui.r-universe.dev</title><link>https://ytonghui.r-universe.dev</link><description>Recent package updates in ytonghui</description><generator>R-universe</generator><image><url>https://github.com/ytonghui.png</url><title>R packages by ytonghui</title><link>https://ytonghui.r-universe.dev</link></image><lastBuildDate>Mon, 15 Jun 2026 07:45:48 GMT</lastBuildDate><item><title>[ytonghui] CopulaSCR 1.0.1</title><author>tonghui_yu@126.com (Tonghui Yu)</author><description>Simulate and analyze Semi-competing Risks Data using
copula-based models. The Semi-competing Risks Data consist of a
terminal event time and single or multiple intermediate event
times. The marginal survival functions of these event times are
estimated without parametric assumptions. The association
parameters measuring dependency among these event times
involving the copula model are yielded from solving a
concordance estimating equations or maximizing a
pseudo-likelihood function. Details can be found in the article
by Tonghui Yu and Liming Xiang (2026)
&lt;doi:10.1093/biomtc/ujag087&gt;.</description><link>https://github.com/r-universe/ytonghui/actions/runs/27558409234</link><pubDate>Mon, 15 Jun 2026 07:45:48 GMT</pubDate><r:package>CopulaSCR</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://ytonghui.r-universe.dev</r:repository><r:upstream>https://github.com/ytonghui/copulascr</r:upstream></item></channel></rss>