<?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>Matching Algorithms for Causal Inference with Clustered Data</dc:title>
  <dc:title>R package CMatching version 2.4</dc:title>
  <dc:description>Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) &lt;doi:10.1002/sim.6880&gt;. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.6.0), Matching</dc:relation>
  <dc:relation>Imports: stats,lmtest,multiwayvcov,lme4</dc:relation>
  <dc:creator>Massimo Cannas &lt;massimo.cannas@unica.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Massimo Cannas [aut, cre],
  Bruno Arpino [ctb],
  Elena Colicino [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2025-02-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CMatching</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CMatching</dc:identifier>
</oai_dc:dc>