<?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>melodyyhuang.r-universe.dev</title><link>https://melodyyhuang.r-universe.dev</link><description>Recent package updates in melodyyhuang</description><generator>R-universe</generator><image><url>https://github.com/melodyyhuang.png</url><title>R packages by melodyyhuang</title><link>https://melodyyhuang.r-universe.dev</link></image><lastBuildDate>Fri, 15 Aug 2025 06:05:19 GMT</lastBuildDate><item><title>[melodyyhuang] senseweight 0.0.1</title><author>melody.huang@yale.edu (Melody Huang)</author><description>Provides tools to conduct rigorous sensitivity analyses
for weighted estimators, introduced in Huang (2024)
&lt;doi:10.1093/jrsssa/qnae012&gt; and Hartman and Huang (2024)
&lt;doi:10.1017&gt;. The package allows researchers to generate the
set of recommended sensitivity summaries to evaluate the
sensitivity in their underlying weighting estimators to omitted
moderators or confounders. The tools can be flexibly applied in
causal inference settings (i.e., in external and internal
validity contexts) or survey contexts.</description><link>https://github.com/r-universe/melodyyhuang/actions/runs/27816362563</link><pubDate>Fri, 15 Aug 2025 06:05:19 GMT</pubDate><r:package>senseweight</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://melodyyhuang.r-universe.dev</r:repository><r:upstream>https://github.com/melodyyhuang/senseweight</r:upstream><r:article><r:source>external-validity.Rmd</r:source><r:filename>external-validity.html</r:filename><r:title>Sensitivity analysis for external validity</r:title><r:created>2025-08-14 07:30:22</r:created><r:modified>2025-08-15 06:05:19</r:modified></r:article><r:article><r:source>survey.Rmd</r:source><r:filename>survey.html</r:filename><r:title>Sensitivity analysis for survey weights</r:title><r:created>2025-08-14 07:30:22</r:created><r:modified>2025-08-15 06:05:19</r:modified></r:article></item></channel></rss>