<?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>ahdar1.r-universe.dev</title><link>https://ahdar1.r-universe.dev</link><description>Recent package updates in ahdar1</description><generator>R-universe</generator><image><url>https://github.com/ahdar1.png</url><title>R packages by ahdar1</title><link>https://ahdar1.r-universe.dev</link></image><lastBuildDate>Fri, 29 May 2026 12:30:13 GMT</lastBuildDate><item><title>[ahdar1] ModLR 0.1.29</title><author>ahdar_2000@yahoo.com (Ahmad Daryanto)</author><description>Provides a robust implementation of information-theoretic
moderation analysis using multi-model inference based on
Akaike's Information Criterion (AIC) and its small-sample
corrected form (Corrected AIC). The package enables researchers
to compare competing model specifications and helps distinguish
true interaction effects from nonlinear relationships that may
produce spurious moderation. The methods build on Daryanto
(2019) &lt;doi:10.1016/j.jbusres.2019.06.012&gt;.</description><link>https://github.com/r-universe/ahdar1/actions/runs/38235882427</link><pubDate>Fri, 29 May 2026 12:30:13 GMT</pubDate><r:package>ModLR</r:package><r:version>0.1.29</r:version><r:status>success</r:status><r:repository>https://ahdar1.r-universe.dev</r:repository><r:upstream>https://github.com/cran/ModLR</r:upstream><r:article><r:source>modlr-introduction.Rmd</r:source><r:filename>modlr-introduction.html</r:filename><r:title>Introduction to ModLR</r:title><r:created>2026-05-29 12:30:13</r:created><r:modified>2026-05-29 12:30:13</r:modified></r:article></item></channel></rss>