<?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>Ecological Inference Applying Entropy</dc:title>
  <dc:title>R package EIEntropy version 0.0.1.4</dc:title>
  <dc:description>Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." &lt;doi:10.1007/s11205-020-02455-z&gt;. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., &amp; Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." &lt;doi:10.1111/rsp3.12379&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: dplyr, magrittr</dc:relation>
  <dc:relation>Suggests: devtools, knitr, rmarkdown, here</dc:relation>
  <dc:creator>Silvia María Franco Anaya &lt;sfrana@unileon.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alberto Díaz-Dapena [aut, cph],
  Esteban Fernández-Vázquez [aut, cph],
  Silvia María Franco Anaya [aut, cre, cph]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-03-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=EIEntropy</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.EIEntropy</dc:identifier>
</oai_dc:dc>
