<?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>yux91o.r-universe.dev</title><link>https://yux91o.r-universe.dev</link><description>Recent package updates in yux91o</description><generator>R-universe</generator><image><url>https://github.com/yux91o.png</url><title>R packages by yux91o</title><link>https://yux91o.r-universe.dev</link></image><lastBuildDate>Fri, 24 Jul 2026 10:10:05 GMT</lastBuildDate><item><title>[yux91o] HighDimenCDM 0.1.0</title><author>mei00060@umn.edu (Yuxuan Mei)</author><description>Provides stochastic expectation-maximization (stEM)
algorithms for estimating high-dimensional cognitive diagnosis
models. The package implements stochastic EM algorithms for
cognitive diagnosis models with a large number of attributes.
It includes estimation functions and example datasets for model
fitting and analysis. The methods are described in Ma, W.,
Wang, K., and Xu, G. (Accepted). &quot;Parameter estimation of
cognitive diagnosis models with stochastic EM algorithm.&quot;
Behaviometrika.</description><link>https://github.com/r-universe/yux91o/actions/runs/35982610824</link><pubDate>Fri, 24 Jul 2026 10:10:05 GMT</pubDate><r:package>HighDimenCDM</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://yux91o.r-universe.dev</r:repository><r:upstream>https://github.com/cran/HighDimenCDM</r:upstream></item></channel></rss>