<?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>ys-statcode.r-universe.dev</title><link>https://ys-statcode.r-universe.dev</link><description>Recent package updates in ys-statcode</description><generator>R-universe</generator><image><url>https://github.com/ys-statcode.png</url><title>R packages by ys-statcode</title><link>https://ys-statcode.r-universe.dev</link></image><lastBuildDate>Tue, 20 Aug 2024 02:55:03 GMT</lastBuildDate><item><title>[ys-statcode] squant 1.1.7</title><author>sunyanrobin@gmail.com (YAN SUN)</author><description>A subgroup identification method for precision medicine
based on quantitative objectives. This method can handle
continuous, binary and survival endpoint for both prognostic
and predictive case. For the predictive case, the method aims
at identifying a subgroup for which treatment is better than
control by at least a pre-specified or auto-selected constant.
For the prognostic case, the method aims at identifying a
subgroup that is at least better than a
pre-specified/auto-selected constant. The derived signature is
a linear combination of predictors, and the selected subgroup
are subjects with the signature &gt; 0. The false discover rate
when no true subgroup exists is controlled at a user-specified
level.</description><link>https://github.com/r-universe/ys-statcode/actions/runs/26016031574</link><pubDate>Tue, 20 Aug 2024 02:55:03 GMT</pubDate><r:package>squant</r:package><r:version>1.1.7</r:version><r:status>success</r:status><r:repository>https://ys-statcode.r-universe.dev</r:repository><r:upstream>https://github.com/cran/squant</r:upstream></item></channel></rss>