<?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>pan-mingyue.r-universe.dev</title><link>https://pan-mingyue.r-universe.dev</link><description>Recent package updates in pan-mingyue</description><generator>R-universe</generator><image><url>https://github.com/pan-mingyue.png</url><title>R packages by pan-mingyue</title><link>https://pan-mingyue.r-universe.dev</link></image><lastBuildDate>Thu, 21 Aug 2025 07:32:18 GMT</lastBuildDate><item><title>[pan-mingyue] WarnEpi 1.0.0</title><author>panmyue18@163.com (Mingyue Pan)</author><description>Infectious disease surveillance requires early outbreak
detection. This package provides statistical tools for
analyzing time-series monitoring data through three core
methods: a) EWMA (Exponentially Weighted Moving Average) b)
Modified-CUSUM (Modified Cumulative Sum) c) Adjusted-Serfling
models Methodologies are based on: - Wang et al. (2010)
&lt;doi:10.1016/j.jbi.2009.08.003&gt; - Wang et al. (2015)
&lt;doi:10.1371/journal.pone.0119923&gt; Designed for epidemiologists
and public health researchers working with disease surveillance
systems.</description><link>https://github.com/r-universe/pan-mingyue/actions/runs/28016837637</link><pubDate>Thu, 21 Aug 2025 07:32:18 GMT</pubDate><r:package>WarnEpi</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://pan-mingyue.r-universe.dev</r:repository><r:upstream>https://github.com/pan-mingyue/warnepi</r:upstream></item></channel></rss>