<?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>Maximized Monte Carlo</dc:title>
  <dc:title>R package MaxMC version 0.1.2</dc:title>
  <dc:description>An implementation of the Monte Carlo techniques described in details by Dufour (2006) &lt;doi:10.1016/j.jeconom.2005.06.007&gt; and Dufour and Khalaf (2007) &lt;doi:10.1002/9780470996249.ch24&gt;. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: GenSA, pso, GA, NMOF, scales, stats, graphics, utils,</dc:relation>
  <dc:relation>Suggests: fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown</dc:relation>
  <dc:creator>Gabriel Rodriguez-Rondon &lt;gabriel.rodriguezrondon@mail.mcgill.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Julien Neves [aut],
  Jean-Marie Dufour [aut, ths],
  Gabriel Rodriguez-Rondon [cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2024-10-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MaxMC</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MaxMC</dc:identifier>
</oai_dc:dc>