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<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>Bimodal GEV Distribution with Location Parameter</dc:title>
  <dc:title>R package bgev version 0.2</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>Density, distribution function, quantile function random generation and estimation of bimodal GEV distribution given in Otiniano et al. (2023) &lt;doi:10.1007/s10651-023-00566-7&gt;. This new generalization of the well-known GEV (Generalized Extreme Value) distribution is useful for modeling heterogeneous bimodal data from different areas.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: EnvStats, DEoptim, stats, MASS</dc:relation>
  <dc:creator>Thiago Sousa Developer &lt;thiagoestatistico@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Cira Otiniano Author [aut],
  Yasmin Lirio Author [aut],
  Thiago Sousa Developer [cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-11-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bgev</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bgev</dc:identifier>
</oai_dc:dc>