<?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>xqnwang.r-universe.dev</title><link>https://xqnwang.r-universe.dev</link><description>Recent package updates in xqnwang</description><generator>R-universe</generator><image><url>https://github.com/xqnwang.png</url><title>R packages by xqnwang</title><link>https://xqnwang.r-universe.dev</link></image><lastBuildDate>Thu, 05 Feb 2026 12:01:42 GMT</lastBuildDate><item><title>[xqnwang] conformalForecast 0.1.1</title><author>xiaoqian.wang@amss.ac.cn (Xiaoqian Wang)</author><description>Methods and tools for performing multistep-ahead time
series forecasting using conformal prediction methods including
classical conformal prediction, adaptive conformal prediction,
conformal PID (Proportional-Integral-Derivative) control, and
autocorrelated multistep-ahead conformal prediction. The
methods were described by Wang and Hyndman (2024)
&lt;doi:10.48550/arXiv.2410.13115&gt;.</description><link>https://github.com/r-universe/xqnwang/actions/runs/27001166349</link><pubDate>Thu, 05 Feb 2026 12:01:42 GMT</pubDate><r:package>conformalForecast</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://xqnwang.r-universe.dev</r:repository><r:upstream>https://github.com/xqnwang/conformalforecast</r:upstream><r:article><r:source>conformalForecast.Rmd</r:source><r:filename>conformalForecast.html</r:filename><r:title>Introduction to conformalForecast</r:title><r:created>2024-04-02 12:13:20</r:created><r:modified>2025-09-23 05:17:04</r:modified></r:article></item></channel></rss>