<?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>junhao7622.r-universe.dev</title><link>https://junhao7622.r-universe.dev</link><description>Recent package updates in junhao7622</description><generator>R-universe</generator><image><url>https://github.com/junhao7622.png</url><title>R packages by junhao7622</title><link>https://junhao7622.r-universe.dev</link></image><lastBuildDate>Sun, 12 Jul 2026 05:55:49 GMT</lastBuildDate><item><title>[junhao7622] steinsampling 0.1.0</title><author>jug049@ucsd.edu (Junhao Gao)</author><description>Provides Stein-discrepancy goodness-of-fit tests and
Stein-method-based sampling tools. The tests include kernel
Stein discrepancy U- and V-statistics following Liu et al.
(2016) &lt;doi:10.48550/arXiv.1602.03253&gt; and Chwialkowski et al.
(2016) &lt;doi:10.48550/arXiv.1602.02964&gt;, plus the finite set
Stein discrepancy test of Jitkrittum et al. (2017)
&lt;doi:10.48550/arXiv.1705.07673&gt;. The sampling tools include
Stein thinning, Stein Points, Stein Point Markov chain Monte
Carlo, and Stein variational gradient descent following Riabiz
et al. (2022) &lt;doi:10.48550/arXiv.2005.03952&gt;, Chen et al.
(2018) &lt;doi:10.48550/arXiv.1803.10161&gt;, Chen et al. (2019)
&lt;doi:10.48550/arXiv.1905.03673&gt;, and Liu and Wang (2016)
&lt;doi:10.48550/arXiv.1608.04471&gt;. Gaussian mixture utilities are
included for simulation, likelihoods, posterior probabilities,
scores, and plots.</description><link>https://github.com/r-universe/junhao7622/actions/runs/29900711122</link><pubDate>Sun, 12 Jul 2026 05:55:49 GMT</pubDate><r:package>steinsampling</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://junhao7622.r-universe.dev</r:repository><r:upstream>https://github.com/junhao7622/steinsampling</r:upstream></item></channel></rss>