<?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>szhua-stat.r-universe.dev</title><link>https://szhua-stat.r-universe.dev</link><description>Recent package updates in szhua-stat</description><generator>R-universe</generator><image><url>https://github.com/szhua-stat.png</url><title>R packages by szhua-stat</title><link>https://szhua-stat.r-universe.dev</link></image><lastBuildDate>Wed, 27 May 2026 08:50:19 GMT</lastBuildDate><item><title>[szhua-stat] GEMSS 0.1.1</title><author>szhua@g.ucla.edu (Sheng-Zhan Hua)</author><description>Implements the Generalization Error Minimization in
SubSampling (GEMSS) algorithm for sequential subdata selection
in large-scale Gaussian process modeling (Chang, Hua, and Wu,
2026) &lt;doi:10.1080/00401706.2026.2670596&gt;. The method selects
data points by a criterion consisting of predictive and
space-filling parts, enabling efficient surrogate modeling for
massive datasets.</description><link>https://github.com/r-universe/szhua-stat/actions/runs/26563061512</link><pubDate>Wed, 27 May 2026 08:50:19 GMT</pubDate><r:package>GEMSS</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://szhua-stat.r-universe.dev</r:repository><r:upstream>https://github.com/cran/GEMSS</r:upstream></item></channel></rss>