<?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>staburo.r-universe.dev</title><link>https://staburo.r-universe.dev</link><description>Recent package updates in staburo</description><generator>R-universe</generator><image><url>https://github.com/staburo.png</url><title>R packages by staburo</title><link>https://staburo.r-universe.dev</link></image><lastBuildDate>Thu, 10 Sep 2026 08:59:57 GMT</lastBuildDate><item><title>[staburo] shadowVIMP 1.0.3</title><author>mueller@staburo.de (Tim Mueller)</author><description>A statistical method for reducing the number of covariates
in an analysis by evaluating Variable Importance Measures
(VIMPs) derived from the Random Forest algorithm. It performs
statistical tests on the VIMPs and outputs whether the
covariate is significant along with the p-values.</description><link>https://github.com/r-universe/staburo/actions/runs/38150007945</link><pubDate>Thu, 10 Sep 2026 08:59:57 GMT</pubDate><r:package>shadowVIMP</r:package><r:version>1.0.3</r:version><r:status>success</r:status><r:repository>https://staburo.r-universe.dev</r:repository><r:upstream>https://github.com/staburo/shadowvimp</r:upstream><r:article><r:source>shadowVIMP-vignette.Rmd</r:source><r:filename>shadowVIMP-vignette.html</r:filename><r:title>shadowVIMP-vignette</r:title><r:created>2025-01-22 12:46:32</r:created><r:modified>2025-07-30 10:11:47</r:modified></r:article></item></channel></rss>