<?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>Variance-Based Sensitivity Analysis for Weighting Estimators</dc:title>
  <dc:title>R package vbm version 0.1.0</dc:title>
  <dc: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 parameters.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: parallel, magrittr, dplyr, WeightIt, estimatr, ggplot2, scales</dc:relation>
  <dc:relation>Suggests: jointVIP, knitr, rmarkdown, pkgdown, cobalt, osqp</dc:relation>
  <dc:creator>Jiayao Gan &lt;u3612852@connect.hku.hk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jiayao Gan [aut, cre],
  Melody Huang [aut],
  Samuel D. Pimentel [aut],
  Andy A. Shen [aut],
  National Science Foundation [fnd] (Grant #2142146)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=vbm/LICENSE)</dc:rights>
  <dc:date>2026-06-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=vbm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.vbm</dc:identifier>
</oai_dc:dc>
