<?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>dijog.r-universe.dev</title><link>https://dijog.r-universe.dev</link><description>Recent package updates in dijog</description><generator>R-universe</generator><image><url>https://github.com/dijog.png</url><title>R packages by dijog</title><link>https://dijog.r-universe.dev</link></image><lastBuildDate>Tue, 23 Jun 2026 12:43:01 GMT</lastBuildDate><item><title>[dijog] MultiModalR 1.0.0</title><author>dijogergo@gmail.com (Gergo Dioszegi)</author><description>Fast Bayesian probability estimation for multimodal
categorical data using speed-optimized MCMC implementation
(Metropolis-Hastings-within-partial-Gibbs). The package
provides efficient algorithms for detecting subpopulations,
estimating mixture components, and assigning observations to
subgroups with probability estimates.</description><link>https://github.com/r-universe/dijog/actions/runs/28505518536</link><pubDate>Tue, 23 Jun 2026 12:43:01 GMT</pubDate><r:package>MultiModalR</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://dijog.r-universe.dev</r:repository><r:upstream>https://github.com/dijog/multimodalr</r:upstream></item></channel></rss>