<?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>echorliu.r-universe.dev</title><link>https://echorliu.r-universe.dev</link><description>Recent package updates in echorliu</description><generator>R-universe</generator><image><url>https://github.com/echorliu.png</url><title>R packages by echorliu</title><link>https://echorliu.r-universe.dev</link></image><lastBuildDate>Sun, 05 Jan 2025 18:25:35 GMT</lastBuildDate><item><title>[echorliu] robustGarch 0.4.0</title><author>yuhong.echo.liu@gmail.com (Echo Liu)</author><description>A method for modeling robust GARCH (1,1) processes,
providing robustness toward additive outliers instead of
innovation outliers. This work is based on the methodology
described by Muler and Yohai in 2008.</description><link>https://github.com/r-universe/echorliu/actions/runs/29183699550</link><pubDate>Sun, 05 Jan 2025 18:25:35 GMT</pubDate><r:package>robustGarch</r:package><r:version>0.4.0</r:version><r:status>success</r:status><r:repository>https://echorliu.r-universe.dev</r:repository><r:upstream>https://github.com/echorliu/robustgarch</r:upstream><r:article><r:source>robustGarch-vignette.Rmd</r:source><r:filename>robustGarch-vignette.html</r:filename><r:title>Introduction to the robustGarch package</r:title><r:created>2020-08-30 20:33:47</r:created><r:modified>2020-08-30 20:33:47</r:modified></r:article></item></channel></rss>