<?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>yijiehe.r-universe.dev</title><link>https://yijiehe.r-universe.dev</link><description>Recent package updates in yijiehe</description><generator>R-universe</generator><image><url>https://github.com/yijiehe.png</url><title>R packages by yijiehe</title><link>https://yijiehe.r-universe.dev</link></image><lastBuildDate>Sat, 23 Aug 2025 02:30:02 GMT</lastBuildDate><item><title>[yijiehe] door 0.0.3</title><author>yih148@gwu.edu (Yijie He)</author><description>Statistical methods and related graphical representations
for the Desirability of Outcome Ranking (DOOR) methodology. The
DOOR is a paradigm for the design, analysis, interpretation of
clinical trials and other research studies based on the patient
centric benefit risk evaluation. The package provides functions
for generating summary statistics from individual level/summary
level datasets, conduct DOOR probability-based inference, and
visualization of the results. For more details of DOOR
methodology, see Hamasaki and Evans (2025)
&lt;doi:10.1201/9781003390855&gt;. For more explanation of the
statistical methods and the graphics, see the technical
document and user manual of the DOOR 'Shiny' apps at
&lt;https://methods.bsc.gwu.edu&gt;.</description><link>https://github.com/r-universe/yijiehe/actions/runs/27820687789</link><pubDate>Sat, 23 Aug 2025 02:30:02 GMT</pubDate><r:package>door</r:package><r:version>0.0.3</r:version><r:status>success</r:status><r:repository>https://yijiehe.r-universe.dev</r:repository><r:upstream>https://github.com/cran/door</r:upstream></item></channel></rss>