<?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>Implementation of Voting Rules Electing the Candidate with
Highest Median Grade</dc:title>
  <dc:title>R package HighestMedianRules version 1.0</dc:title>
  <dc:description>Computes the scores and ranks candidates according to voting rules electing the highest median grade.
    Based on "Tie-breaking the highest median: alternatives to the majority judgment", A. Fabre, Social Choice &amp; Welfare (forthcoming as of 2020). The paper is available here: &lt;https://github.com/bixiou/highest_median/raw/master/Tie-breaking%20Highest%20Median%20-%20Fabre%202019.pdf&gt;.
    Functions to plot the voting profiles can be found on github: &lt;https://github.com/bixiou/highest_median/blob/master/packages_functions_data.R&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: RMallow</dc:relation>
  <dc:creator>Adrien Fabre &lt;fabre.adri1@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Adrien Fabre [aut, cre]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2020-03-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HighestMedianRules</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HighestMedianRules</dc:identifier>
</oai_dc:dc>