<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Sensitivity Analysis for Weighted Estimators</dc:title>
  <dc:title>R package senseweight version 0.0.1</dc:title>
  <dc:description>Provides tools to conduct interpretable 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/pan.2023.12&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. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: dplyr, estimatr, ggplot2, ggrepel, kableExtra, metR, rlang,
survey, WeightIt</dc:relation>
  <dc:relation>Suggests: knitr, pkgload, rmarkdown</dc:relation>
  <dc:creator>Melody Huang &lt;melody.huang@yale.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Melody Huang [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=senseweight/LICENSE)</dc:rights>
  <dc:date>2025-08-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=senseweight</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.senseweight</dc:identifier>
</oai_dc:dc>
