<?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 of RxC Tables by Latent Structure
Approaches</dc:title>
  <dc:title>R package ecolRxC version 0.1.1-16</dc:title>
  <dc:description>Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches.
   References:
   Park, W.-H. (2008). ''Ecological Inference and Aggregate Analysis of Election''. PhD Dissertation. University of Michigan. &lt;https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf&gt;
   Pavía, J.M. and Thomsen, S.R. (2025) ''ecolRxC: Ecological inference estimation of RxC tables using latent structure approaches''. Political Science Research and Methods, 13(4), 943-961. &lt;doi:10.1017/psrm.2024.57&gt;
   Thomsen, S.R. (1987, ISBN:87-7335-037-2). ''Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus, Denmark.
   Acknowledgements:
   The authors wish to thank Generalitat Valenciana (Conselleria de Educacion, Cultura y Universidades), grant CIACIO/2023/031, and Ministerio de Economia e Innovacion, grant PID2021-128228NB-I00, for supporting this research.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, mvtnorm, Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: ggplot2, scales</dc:relation>
  <dc:creator>Jose M. Pavía &lt;jose.m.pavia@uv.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jose M. Pavía [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-0129-726X&gt;),
  Søren Risbjerg Thomsen [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-05-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ecolRxC</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ecolRxC</dc:identifier>
</oai_dc:dc>
