<?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>rdazadda.r-universe.dev</title><link>https://rdazadda.r-universe.dev</link><description>Recent package updates in rdazadda</description><generator>R-universe</generator><image><url>https://github.com/rdazadda.png</url><title>R packages by rdazadda</title><link>https://rdazadda.r-universe.dev</link></image><lastBuildDate>Wed, 10 Jun 2026 02:16:10 GMT</lastBuildDate><item><title>[rdazadda] bayesqm 0.1.0</title><author>rdazadda@alaska.edu (Raymond Dacosta Azadda)</author><description>A Bayesian factor-analytic framework for Q methodology.
Fits a low-rank factor model to Q-sort data with a Student-t
likelihood and a hierarchical normal prior on loadings, samples
the posterior with Stan, resolves rotational ambiguity via the
MatchAlign post-processing of Poworoznek et al. (2025)
&lt;doi:10.1214/25-BA1544&gt;, and returns posterior summaries
including credible intervals for loadings and factor scores,
probabilistic dominant-factor membership, distinguishing and
consensus statements, and PSIS-LOO-based factor enumeration
following Vehtari et al. (2017) &lt;doi:10.1007/s11222-016-9696-4&gt;
with the Sivula et al. (2025) &lt;doi:10.1214/25-BA1569&gt; parsimony
rule.</description><link>https://github.com/r-universe/rdazadda/actions/runs/27748779020</link><pubDate>Wed, 10 Jun 2026 02:16:10 GMT</pubDate><r:package>bayesqm</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://rdazadda.r-universe.dev</r:repository><r:upstream>https://github.com/rdazadda/bayesqm</r:upstream><r:article><r:source>bayesqm-intro.Rmd</r:source><r:filename>bayesqm-intro.html</r:filename><r:title>Getting started with bayesqm</r:title><r:created>2026-04-20 22:33:02</r:created><r:modified>2026-05-18 22:56:20</r:modified></r:article></item></channel></rss>