<?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>jackgle.r-universe.dev</title><link>https://jackgle.r-universe.dev</link><description>Recent package updates in jackgle</description><generator>R-universe</generator><image><url>https://github.com/jackgle.png</url><title>R packages by jackgle</title><link>https://jackgle.r-universe.dev</link></image><lastBuildDate>Mon, 23 Feb 2026 14:10:02 GMT</lastBuildDate><item><title>[jackgle] rinet 0.1.1</title><author>jackgl4124@gmail.com (Jack LeBien)</author><description>Predicts statistics of a reference distribution from a
mixture of raw clinical measurements (healthy and
pathological). Uses pretrained CNN models to estimate the mean,
standard deviation, and reference fraction from 1D or 2D sample
data. Methods are described in LeBien, Velev, and Roche-Lima
(2026) &quot;RINet: synthetic data training for indirect estimation
of clinical reference distributions&quot;
&lt;doi:10.1016/j.jbi.2026.104980&gt;.</description><link>https://github.com/r-universe/jackgle/actions/runs/27120366026</link><pubDate>Mon, 23 Feb 2026 14:10:02 GMT</pubDate><r:package>rinet</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://jackgle.r-universe.dev</r:repository><r:upstream>https://github.com/cran/rinet</r:upstream></item></channel></rss>