<?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>robertbowencodestrivve.r-universe.dev</title><link>https://robertbowencodestrivve.r-universe.dev</link><description>Recent package updates in robertbowencodestrivve</description><generator>R-universe</generator><image><url>https://github.com/robertbowencodestrivve.png</url><title>R packages by robertbowencodestrivve</title><link>https://robertbowencodestrivve.r-universe.dev</link></image><lastBuildDate>Wed, 27 May 2026 08:51:31 GMT</lastBuildDate><item><title>[robertbowencodestrivve] VisitorCounts 2.0.4</title><author>robertbowen.bham@gmail.com (Robert Bowen)</author><description>Performs modeling and forecasting of park visitor counts
using social media data and (partial) on-site visitor counts.
Specifically, the model is built based on an automatic
decomposition of the trend and seasonal components of the
social media-based park visitor counts, from which short-term
forecasts of the visitor counts and percent changes in the
visitor counts can be made. A reference for the underlying
model that 'VisitorCounts' uses can be found at Russell Goebel,
Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro
Noguchi (2023) &lt;doi:10.1002/for.2965&gt; .</description><link>https://github.com/r-universe/robertbowencodestrivve/actions/runs/26521060751</link><pubDate>Wed, 27 May 2026 08:51:31 GMT</pubDate><r:package>VisitorCounts</r:package><r:version>2.0.4</r:version><r:status>success</r:status><r:repository>https://robertbowencodestrivve.r-universe.dev</r:repository><r:upstream>https://github.com/cran/VisitorCounts</r:upstream><r:article><r:source>VisitorCounts.Rmd</r:source><r:filename>VisitorCounts.html</r:filename><r:title>VisitorCounts</r:title><r:created>2021-11-25 07:50:02</r:created><r:modified>2026-05-27 08:51:31</r:modified></r:article></item></channel></rss>