<?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>buckleybrian.r-universe.dev</title><link>https://buckleybrian.r-universe.dev</link><description>Recent package updates in buckleybrian</description><generator>R-universe</generator><image><url>https://github.com/buckleybrian.png</url><title>R packages by buckleybrian</title><link>https://buckleybrian.r-universe.dev</link></image><lastBuildDate>Wed, 17 Dec 2025 09:58:47 GMT</lastBuildDate><item><title>[buckleybrian] VBphenoR 1.1.0</title><author>brian.buckley.1@ucdconnect.ie (Brian Buckley)</author><description>Identification of Latent Patient Phenotype from Electronic
Health Records (EHR) Data using Variational Bayes Gaussian
Mixture Model for Latent Class Analysis and Variational Bayes
regression for Biomarker level shifts, both implemented by
Coordinate Ascent Variational Inference algorithms. Variational
methods are used to enable Bayesian analysis of very large
Electronic Health Records data. For VB GMM details see Bishop
(2006,ISBN:9780-387-31073-2). For Logistic VB see Jaakkola and
Jordan (2000) &lt;doi:10.1023/A:1008932416310&gt;. Please see
preprint of JSS-submitted paper
&lt;doi:10.48550/arXiv.2512.14272&gt;.</description><link>https://github.com/r-universe/buckleybrian/actions/runs/29394221879</link><pubDate>Wed, 17 Dec 2025 09:58:47 GMT</pubDate><r:package>VBphenoR</r:package><r:version>1.1.0</r:version><r:status>success</r:status><r:repository>https://buckleybrian.r-universe.dev</r:repository><r:upstream>https://github.com/buckleybrian/vbphenor</r:upstream></item></channel></rss>