<?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>Conditional Density Estimation Network Construction and
Evaluation</dc:title>
  <dc:title>R package CaDENCE version 1.2.5</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) &lt;doi:10.1016/j.cageo.2011.08.023&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: pso</dc:relation>
  <dc:relation>Suggests: boot</dc:relation>
  <dc:creator>Alex J. Cannon &lt;alex.cannon@canada.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alex J. Cannon</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2017-12-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CaDENCE</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CaDENCE</dc:identifier>
</oai_dc:dc>