<?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>kingjms1.r-universe.dev</title><link>https://kingjms1.r-universe.dev</link><description>Recent package updates in kingjms1</description><generator>R-universe</generator><image><url>https://github.com/kingjms1.png</url><title>R packages by kingjms1</title><link>https://kingjms1.r-universe.dev</link></image><lastBuildDate>Fri, 04 Sep 2026 15:44:36 GMT</lastBuildDate><item><title>[kingjms1] ZINB.GP 1.0.0</title><author>hsin.huang@ucf.edu (Hsin-Hsiung Huang)</author><description>Fits Bayesian zero-inflated negative binomial regression
models with Gaussian process random effects for spatial,
temporal, or spatiotemporal count data. Provides Markov chain
Monte Carlo sampling, configurable random effects in the
zero-inflation and count components, and posterior predictive
draws. Implements a full GP version of the methods described by
He and Huang (2024) &lt;doi:10.1016/j.jspi.2023.106098&gt;.</description><link>https://github.com/r-universe/kingjms1/actions/runs/38713860068</link><pubDate>Fri, 04 Sep 2026 15:44:36 GMT</pubDate><r:package>ZINB.GP</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://kingjms1.r-universe.dev</r:repository><r:upstream>https://github.com/kingjms1/gp_zinb_r</r:upstream><r:article><r:source>oregon-landslides.Rmd</r:source><r:filename>oregon-landslides.html</r:filename><r:title>Oregon Landslides: A Spatiotemporal ZINB-GP Case Study</r:title><r:created>2026-07-29 18:55:19</r:created><r:modified>2026-07-29 18:55:19</r:modified></r:article><r:article><r:source>simulating-zinb-gp.Rmd</r:source><r:filename>simulating-zinb-gp.html</r:filename><r:title>Simulating and Fitting a Spatiotemporal ZINB-GP Model</r:title><r:created>2026-07-29 18:55:19</r:created><r:modified>2026-07-30 01:50:25</r:modified></r:article></item></channel></rss>