<?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>ybshao0709.r-universe.dev</title><link>https://ybshao0709.r-universe.dev</link><description>Recent package updates in ybshao0709</description><generator>R-universe</generator><image><url>https://github.com/ybshao0709.png</url><title>R packages by ybshao0709</title><link>https://ybshao0709.r-universe.dev</link></image><lastBuildDate>Thu, 02 Jul 2026 03:07:32 GMT</lastBuildDate><item><title>[um-kevinhe] survkl 1.0.2</title><author>ybshao@umich.edu (Yubo Shao)</author><description>Provides flexible and efficient tools for integrating
external risk scores into Cox proportional hazards models while
accounting for population heterogeneity. Enables robust
estimation, improved predictive accuracy, and user-friendly
workflows for modern survival analysis. For more information,
see Wang et al. (2023) &lt;doi:10.48550/arXiv.2302.11123&gt;.</description><link>https://github.com/r-universe/um-kevinhe/actions/runs/36685398876</link><pubDate>Thu, 02 Jul 2026 03:07:32 GMT</pubDate><r:package>survkl</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://um-kevinhe.r-universe.dev</r:repository><r:upstream>https://github.com/um-kevinhe/survkl</r:upstream><r:article><r:source>Methods.Rmd</r:source><r:filename>Methods.html</r:filename><r:title>Methods for Transfer-learning Based Integrated Cox Models</r:title><r:created>2025-12-09 02:00:16</r:created><r:modified>2026-06-06 01:38:28</r:modified></r:article><r:article><r:source>survkl.Rmd</r:source><r:filename>survkl.html</r:filename><r:title>survkl: Transfer-Learning Based Integrated Cox Models</r:title><r:created>2025-12-09 02:00:16</r:created><r:modified>2026-06-06 01:38:28</r:modified></r:article></item></channel></rss>