<?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>jianghuai0730.r-universe.dev</title><link>https://jianghuai0730.r-universe.dev</link><description>Recent package updates in jianghuai0730</description><generator>R-universe</generator><image><url>https://github.com/jianghuai0730.png</url><title>R packages by jianghuai0730</title><link>https://jianghuai0730.r-universe.dev</link></image><lastBuildDate>Sun, 21 Jun 2026 10:40:02 GMT</lastBuildDate><item><title>[jianghuai0730] survSampleSize 0.1.2</title><author>13661928191@163.com (Huai Jiang)</author><description>An interactive 'shiny' application for sample size and
power calculation under general conditions for clinical trials
with survival endpoints. Implements the weighted log-rank
method of Lu (2021) &lt;doi:10.1002/pst.2069&gt; via the 'lrstat'
package, supporting non-proportional hazards, delayed treatment
effects, unequal allocation and dropout, as well as the classic
method of Freedman (1982) &lt;doi:10.1002/sim.4780010204&gt; via the
'powerSurvEpi' package. Results are presented interactively
with survival curves and event-prediction timelines.</description><link>https://github.com/r-universe/jianghuai0730/actions/runs/27908501704</link><pubDate>Sun, 21 Jun 2026 10:40:02 GMT</pubDate><r:package>survSampleSize</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://jianghuai0730.r-universe.dev</r:repository><r:upstream>https://github.com/cran/survSampleSize</r:upstream><r:article><r:source>survSampleSize.Rmd</r:source><r:filename>survSampleSize.html</r:filename><r:title>Getting started with survSampleSize</r:title><r:created>2026-06-20 14:00:02</r:created><r:modified>2026-06-20 14:00:02</r:modified></r:article></item></channel></rss>