<?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>mghorbani01.r-universe.dev</title><link>https://mghorbani01.r-universe.dev</link><description>Recent package updates in mghorbani01</description><generator>R-universe</generator><image><url>https://github.com/mghorbani01.png</url><title>R packages by mghorbani01</title><link>https://mghorbani01.r-universe.dev</link></image><lastBuildDate>Fri, 26 Dec 2025 02:15:45 GMT</lastBuildDate><item><title>[mghorbani01] SepTest 0.0.1</title><author>mohammad.ghorbani@slu.se (Mohammad Ghorbani)</author><description>Provides statistical tools for testing first-order
separability in spatio-temporal point processes, that is,
whether the spatio-temporal intensity function can be expressed
as a product of spatial and temporal components. The package
implements several hypothesis tests, including exact and
asymptotic methods for Poisson and non-Poisson processes.
Methods include global envelope tests, chi-squared-type
statistics, and a novel Hilbert-Schmidt independence criterion
(HSIC) test with block or pure permutations. Simulation studies
and real-world examples, including the 2001 UK foot-and-mouth
disease outbreak data, illustrate its utility. The package
encompasses all simulation studies and applications presented
in Ghorbani et al. (2021, 2025).</description><link>https://github.com/r-universe/mghorbani01/actions/runs/26944719206</link><pubDate>Fri, 26 Dec 2025 02:15:45 GMT</pubDate><r:package>SepTest</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://mghorbani01.r-universe.dev</r:repository><r:upstream>https://github.com/mghorbani01/septest</r:upstream></item></channel></rss>