<?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>forsbergpsychometrics.r-universe.dev</title><link>https://forsbergpsychometrics.r-universe.dev</link><description>Recent package updates in forsbergpsychometrics</description><generator>R-universe</generator><image><url>https://github.com/forsbergpsychometrics.png</url><title>R packages by forsbergpsychometrics</title><link>https://forsbergpsychometrics.r-universe.dev</link></image><lastBuildDate>Sun, 07 Jun 2026 10:59:38 GMT</lastBuildDate><item><title>[forsbergpsychometrics] D3mirt 2.0.5.9000</title><author>forsbergpsychometrics@gmail.com (Erik Forsberg)</author><description>For identifying, estimating, and plotting descriptive
multidimensional item response theory models, restricted to 3D
and dichotomous or polytomous data that fit the two-parameter
logistic model or the graded response model. The method is
primarily exploratory and centered on the plot function, which
exposes item characteristics and constructs, represented by
vector arrows, within a three-dimensional interactive latent
space. The results can be useful for item-level analysis as
well as test development.</description><link>https://github.com/r-universe/forsbergpsychometrics/actions/runs/27406070205</link><pubDate>Sun, 07 Jun 2026 10:59:38 GMT</pubDate><r:package>D3mirt</r:package><r:version>2.0.5.9000</r:version><r:status>success</r:status><r:repository>https://forsbergpsychometrics.r-universe.dev</r:repository><r:upstream>https://github.com/forsbergpsychometrics/d3mirt</r:upstream><r:article><r:source>IntrotoD3mirt.pdf.asis</r:source><r:filename>IntrotoD3mirt.pdf</r:filename><r:title>Introduction to D3mirt</r:title><r:created>2024-06-19 14:14:21</r:created><r:modified>2026-06-05 17:04:49</r:modified></r:article></item></channel></rss>