<?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>tcuongd.r-universe.dev</title><link>https://tcuongd.r-universe.dev</link><description>Recent package updates in tcuongd</description><generator>R-universe</generator><image><url>https://github.com/tcuongd.png</url><title>R packages by tcuongd</title><link>https://tcuongd.r-universe.dev</link></image><lastBuildDate>Tue, 13 Oct 2026 12:41:47 GMT</lastBuildDate><item><title>[facebook] prophet 1.2.2</title><author>cuong.duong242@gmail.com (Cuong Duong)</author><description>Implements a procedure for forecasting time series data
based on an additive model where non-linear trends are fit with
yearly, weekly, and daily seasonality, plus holiday effects. It
works best with time series that have strong seasonal effects
and several seasons of historical data. Prophet is robust to
missing data and shifts in the trend, and typically handles
outliers well.</description><link>https://github.com/r-universe/facebook/actions/runs/38457932543</link><pubDate>Tue, 13 Oct 2026 12:41:47 GMT</pubDate><r:package>prophet</r:package><r:version>1.2.2</r:version><r:status>success</r:status><r:repository>https://facebook.r-universe.dev</r:repository><r:upstream>https://github.com/facebook/prophet</r:upstream><r:article><r:source>quick_start.Rmd</r:source><r:filename>quick_start.html</r:filename><r:title>Quick Start Guide to Using Prophet</r:title><r:created>2017-02-22 23:59:43</r:created><r:modified>2018-06-02 17:50:58</r:modified></r:article></item></channel></rss>