<?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>qmul.r-universe.dev</title><link>https://qmul.r-universe.dev</link><description>Recent package updates in qmul</description><generator>R-universe</generator><image><url>https://github.com/qmul.png</url><title>R packages by qmul</title><link>https://qmul.r-universe.dev</link></image><lastBuildDate>Thu, 12 Mar 2026 10:40:42 GMT</lastBuildDate><item><title>[qmul] poLCAParallel 1.2.7</title><author>s.lo@qmul.ac.uk (Sherman Lo)</author><description>A 'C++' reimplementation of 'poLCA' - latent class
analysis and latent class regression models for polytomous
outcome variables, also known as latent structure analysis. It
attempts to reproduce results and be as similar as possible to
the original code, while running faster, especially with
multiple repetitions, by utilising multiple threads. Further
reading is available on the Queen Mary, University of London,
IT Services Research blog
&lt;https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/&gt;.</description><link>https://github.com/r-universe/qmul/actions/runs/27868326871</link><pubDate>Thu, 12 Mar 2026 10:40:42 GMT</pubDate><r:package>poLCAParallel</r:package><r:version>1.2.7</r:version><r:status>success</r:status><r:repository>https://qmul.r-universe.dev</r:repository><r:upstream>https://github.com/qmul/polcaparallel</r:upstream></item></channel></rss>