<?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>ryt1207.r-universe.dev</title><link>https://ryt1207.r-universe.dev</link><description>Recent package updates in ryt1207</description><generator>R-universe</generator><image><url>https://github.com/ryt1207.png</url><title>R packages by ryt1207</title><link>https://ryt1207.r-universe.dev</link></image><lastBuildDate>Sat, 16 May 2026 17:28:41 GMT</lastBuildDate><item><title>[ryt1207] longitree 1.0.1</title><author>ryoto.obata@gmail.com (Ryoto Obata)</author><description>Implements tree-based methods for longitudinal data. The
package constructs decision trees that evaluate both the main
effect of a covariate and its interaction with time through a
weighted splitting criterion. It supports single-tree
construction, bootstrap-based multiple-tree selection, and tree
visualisation. For methodological details, see Obata and
Sugimoto (2026) &lt;doi:10.1007/s11634-025-00665-2&gt;.</description><link>https://github.com/r-universe/ryt1207/actions/runs/29390633080</link><pubDate>Sat, 16 May 2026 17:28:41 GMT</pubDate><r:package>longitree</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://ryt1207.r-universe.dev</r:repository><r:upstream>https://github.com/cran/longitree</r:upstream></item></channel></rss>