<?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>thmsrgrs.r-universe.dev</title><link>https://thmsrgrs.r-universe.dev</link><description>Recent package updates in thmsrgrs</description><generator>R-universe</generator><image><url>https://github.com/thmsrgrs.png</url><title>R packages by thmsrgrs</title><link>https://thmsrgrs.r-universe.dev</link></image><lastBuildDate>Tue, 02 Jun 2026 10:59:08 GMT</lastBuildDate><item><title>[thmsrgrs] iDIFr 1.0.1</title><author>thomas.rogers@britishcouncil.org (Thomas Rogers)</author><description>A toolkit for detecting Differential Item Functioning
(DIF) using Logistic Regression (LR) as described in
Swaminathan and Rogers (1990)
&lt;doi:10.1111/j.1745-3984.1990.tb00754.x&gt;, the IRT Likelihood
Ratio Test (LRT) following Thissen, Steinberg &amp; Wainer (1993,
ISBN:0-8058-0972-4), and model-based recursive partitioning
(MOB) as implemented in 'strucchange' following Strobl, Kopf
and Zeileis (2015) &lt;doi:10.1007/s11336-013-9388-3&gt;. Designed
for both standard two-group and intersectional multi-group
designs, 'iDIFr' prioritises effect size reporting alongside
statistical significance, clear guidance on group construction,
and interpretable output suitable for applied testing contexts.
Built-in Intersectional Contrast Analysis (ICA) classifies
items as amplified, pure-intersection, obscured, or none by
comparing single-variable and intersectional analyses.</description><link>https://github.com/r-universe/thmsrgrs/actions/runs/27195364410</link><pubDate>Tue, 02 Jun 2026 10:59:08 GMT</pubDate><r:package>iDIFr</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://thmsrgrs.r-universe.dev</r:repository><r:upstream>https://github.com/thmsrgrs/idifr</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting started with iDIFr</r:title><r:created>2026-05-11 11:20:14</r:created><r:modified>2026-05-15 15:16:39</r:modified></r:article></item></channel></rss>