<?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>Entropy Reweighting to Create Balanced Samples</dc:title>
  <dc:title>R package ebal version 0.2.1</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>Implements entropy balancing, a data preprocessing procedure
    described in Hainmueller (2012, &lt;doi:10.1093/pan/mpr025&gt;) that allows
    users to reweight a dataset such that the covariate distributions in
    the reweighted data satisfy a set of user-specified moment conditions.
    Useful for creating balanced samples in observational studies with a
    binary treatment where the control group is reweighted to match the
    covariate moments of the treatment group, and for reweighting a
    survey sample to known characteristics from a target population.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: graphics, methods, stats</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Jens Hainmueller &lt;jhain@stanford.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jens Hainmueller [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-04-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ebal</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ebal</dc:identifier>
</oai_dc:dc>
