<?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>sean-mcgrath.r-universe.dev</title><link>https://sean-mcgrath.r-universe.dev</link><description>Recent package updates in sean-mcgrath</description><generator>R-universe</generator><image><url>https://github.com/sean-mcgrath.png</url><title>R packages by sean-mcgrath</title><link>https://sean-mcgrath.r-universe.dev</link></image><lastBuildDate>Thu, 14 Dec 2023 01:42:20 GMT</lastBuildDate><item><title>[stmcg] estmeansd 1.0.1</title><author>sean.mcgrath@mail.mcgill.ca (Sean McGrath)</author><description>Implements the methods of McGrath et al. (2020)
&lt;doi:10.1177/0962280219889080&gt; and Cai et al. (2021)
&lt;doi:10.1177/09622802211047348&gt; for estimating the sample mean
and standard deviation from commonly reported quantiles in
meta-analysis. These methods can be applied to studies that
report the sample median, sample size, and one or both of (i)
the sample minimum and maximum values and (ii) the first and
third quartiles. The corresponding standard error estimators
described by McGrath et al. (2023)
&lt;doi:10.1177/09622802221139233&gt; are also included.</description><link>https://github.com/r-universe/stmcg/actions/runs/36689341500</link><pubDate>Thu, 14 Dec 2023 01:42:20 GMT</pubDate><r:package>estmeansd</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://stmcg.r-universe.dev</r:repository><r:upstream>https://github.com/stmcg/estmeansd</r:upstream></item></channel></rss>