<?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>autumnlou.r-universe.dev</title><link>https://autumnlou.r-universe.dev</link><description>Recent package updates in autumnlou</description><generator>R-universe</generator><image><url>https://github.com/autumnlou.png</url><title>R packages by autumnlou</title><link>https://autumnlou.r-universe.dev</link></image><lastBuildDate>Thu, 07 Dec 2023 02:39:32 GMT</lastBuildDate><item><title>[autumnlou] WRestimates 0.1.0</title><author>autumn.research@gmail.com (Autumn ODonnell)</author><description>Calculates non-parametric estimates of the sample size,
power and confidence intervals for the win-ratio. For more
detail on the theory behind the methodologies implemented see
Yu, R. X. and Ganju, J. (2022) &lt;doi:10.1002/sim.9297&gt;.</description><link>https://github.com/r-universe/autumnlou/actions/runs/39384560049</link><pubDate>Thu, 07 Dec 2023 02:39:32 GMT</pubDate><r:package>WRestimates</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://autumnlou.r-universe.dev</r:repository><r:upstream>https://github.com/cran/WRestimates</r:upstream><r:article><r:source>Intro_to_WRestimates.Rmd</r:source><r:filename>Intro_to_WRestimates.html</r:filename><r:title>Introduction to WRestimates</r:title><r:created>2023-12-07 02:39:32</r:created><r:modified>2023-12-07 02:39:32</r:modified></r:article></item></channel></rss>