<?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>dingjshi.r-universe.dev</title><link>https://dingjshi.r-universe.dev</link><description>Recent package updates in dingjshi</description><generator>R-universe</generator><image><url>https://github.com/dingjshi.png</url><title>R packages by dingjshi</title><link>https://dingjshi.r-universe.dev</link></image><lastBuildDate>Tue, 01 Sep 2026 19:55:20 GMT</lastBuildDate><item><title>[olfactorybulb] buzzMed 0.1.4</title><author>dshi32@gatech.edu (Dingjing Shi)</author><description>A collection of quantitative tools for selecting mediating
effects within exploratory Bayesian mediation models. The
package accommodates both continuous and dichotomous outcomes,
including the dependent variables and the mediators for
identifying and analyzing mediation pathways.</description><link>https://github.com/r-universe/olfactorybulb/actions/runs/41198024535</link><pubDate>Tue, 01 Sep 2026 19:55:20 GMT</pubDate><r:package>buzzMed</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://olfactorybulb.r-universe.dev</r:repository><r:upstream>https://github.com/olfactorybulb/buzzmed</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with buzzMed</r:title><r:created>2026-05-03 21:53:28</r:created><r:modified>2026-05-04 22:01:20</r:modified></r:article></item></channel></rss>