<?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>Estimating IRT Parameters via Machine Learning Algorithms</dc:title>
  <dc:title>R package ConvertPar version 0.1</dc:title>
  <dc:description>A tool to estimate IRT item parameters (2 PL) using CTT-based item statistics from small samples via artificial neural networks and regression trees.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: neuralnet, mirt, RWeka, stats</dc:relation>
  <dc:creator>Eda Akdogdu Yildiz &lt;akdogdueda@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Eda Akdogdu Yildiz [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-4374-4379&gt;),
  Huseyin Yıldız [aut] (ORCID: &lt;https://orcid.org/0000-0003-2387-263X&gt;),
  Kubra Atalay Kabasakal [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-3580-5568&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-03-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ConvertPar</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ConvertPar</dc:identifier>
</oai_dc:dc>
