<?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>ikerugr.r-universe.dev</title><link>https://ikerugr.r-universe.dev</link><description>Recent package updates in ikerugr</description><generator>R-universe</generator><image><url>https://github.com/ikerugr.png</url><title>R packages by ikerugr</title><link>https://ikerugr.r-universe.dev</link></image><lastBuildDate>Tue, 09 Dec 2025 15:31:48 GMT</lastBuildDate><item><title>[ikerugr] metacor 1.2.1</title><author>ikerugr@gmail.com (Iker J. Bautista)</author><description>Tools for the calculation of effect sizes (standardised
mean difference) and mean difference in pre-post controlled
studies, including robust imputation of missing variances
(standard deviation of changes) and correlations (Pearson
correlation coefficient). The main function 'metacor_dual()'
implements several methods for imputing missing standard
deviation of changes or Pearson correlation coefficient, and
generates transparent imputation reports. Designed for
meta-analyses with incomplete summary statistics. For details
on the methods, see Higgins et al. (2023) and Fu et al. (2013).</description><link>https://github.com/r-universe/ikerugr/actions/runs/25957710662</link><pubDate>Tue, 09 Dec 2025 15:31:48 GMT</pubDate><r:package>metacor</r:package><r:version>1.2.1</r:version><r:status>success</r:status><r:repository>https://ikerugr.r-universe.dev</r:repository><r:upstream>https://github.com/ikerugr/metacor</r:upstream><r:article><r:source>introduccion.Rmd</r:source><r:filename>introduccion.html</r:filename><r:title>Introduction to metacor</r:title><r:created>2025-07-15 09:44:14</r:created><r:modified>2025-07-15 10:20:43</r:modified></r:article></item></channel></rss>