<?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>xiangyestats.r-universe.dev</title><link>https://xiangyestats.r-universe.dev</link><description>Recent package updates in xiangyestats</description><generator>R-universe</generator><image><url>https://github.com/xiangyestats.png</url><title>R packages by xiangyestats</title><link>https://xiangyestats.r-universe.dev</link></image><lastBuildDate>Sun, 18 Oct 2026 11:55:34 GMT</lastBuildDate><item><title>[xiangyestats] INLAcircular 1.0.0</title><author>xiang.ye@kaust.edu.sa (Xiang Ye)</author><description>Provides a Bayesian regression framework for joint models
with circular responses and covariates using integrated nested
Laplace approximations, following Ye, Van Niekerk and Rue
(2026) &lt;doi:10.48550/arXiv.2602.08413&gt;. The package supports
link-adjusted von Mises likelihoods, shared latent predictors,
structured latent effects, and optional LKJ-based multivariate
covariance models. It also provides compiled circular densities
and d/p/q/r penalized-complexity priors for von Mises,
cardioid, and wrapped Cauchy concentration parameters as
developed by Ye, Van Niekerk and Rue (2026)
&lt;doi:10.1177/1471082X261453677&gt;.</description><link>https://github.com/r-universe/xiangyestats/actions/runs/40869135299</link><pubDate>Sun, 18 Oct 2026 11:55:34 GMT</pubDate><r:package>INLAcircular</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://xiangyestats.r-universe.dev</r:repository><r:upstream>https://github.com/xiangyestats/inlacircular</r:upstream><r:article><r:source>INLAcircular-guide.Rmd</r:source><r:filename>INLAcircular-guide.html</r:filename><r:title>INLAcircular: User Guide and Function Reference</r:title><r:created>2026-09-07 09:38:42</r:created><r:modified>2026-10-18 11:55:34</r:modified></r:article></item></channel></rss>