<?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>Validation Tools for Artificial Neural Networks</dc:title>
  <dc:title>R package validann version 1.3</dc:title>
  <dc:description>Methods and tools for analysing and validating the outputs
    and modelled functions of artificial neural networks (ANNs) in terms
    of predictive, replicative and structural validity. Also provides a
    method for fitting feed-forward ANNs with a single hidden layer.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.0)</dc:relation>
  <dc:relation>Imports: moments</dc:relation>
  <dc:relation>Suggests: nnet, knitr, rmarkdown</dc:relation>
  <dc:creator>Patrice Kiener &lt;rpackages@inmodelia.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Greer B. Humphrey [aut],
  Patrice Kiener [cre] (ORCID: &lt;https://orcid.org/0000-0002-0505-9920&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-08-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=validann</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.validann</dc:identifier>
</oai_dc:dc>
