<?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>staniks0.r-universe.dev</title><link>https://staniks0.r-universe.dev</link><description>Recent package updates in staniks0</description><generator>R-universe</generator><image><url>https://github.com/staniks0.png</url><title>R packages by staniks0</title><link>https://staniks0.r-universe.dev</link></image><lastBuildDate>Tue, 30 Jun 2026 20:30:02 GMT</lastBuildDate><item><title>[cran] vbm 0.1.0</title><author>u3612852@connect.hku.hk (Jiayao Gan)</author><description>Provides methods for variance-based sensitivity analysis
and weighting estimators in observational studies based on
methodology by Huang &amp; Pimentel (2025)
&lt;doi:10.1093/biomet/asae040&gt;. Includes bootstrap inference,
bias bounds estimation, and visualization tools for sensitivity
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sensitivity analysis in observational studies. Includes
bootstrap inference, bias bounds estimation, and visualization
tools for sensitivity parameters.</description><link>https://github.com/r-universe/staniks0/actions/runs/28505759227</link><pubDate>Mon, 15 Jun 2026 14:59:24 GMT</pubDate><r:package>vbm</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://staniks0.r-universe.dev</r:repository><r:upstream>https://github.com/staniks0/vbm</r:upstream><r:article><r:source>vbm.Rmd</r:source><r:filename>vbm.html</r:filename><r:title>Variance-Based Sensitivity Analysis for Weighting Estimators</r:title><r:created>2026-06-15 14:59:24</r:created><r:modified>2026-06-15 14:59:24</r:modified></r:article></item></channel></rss>