<?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>Federated Item Response Theory Models</dc:title>
  <dc:title>R package FedIRT version 1.1.0</dc:title>
  <dc:description>Integrate Item Response Theory (IRT) and Federated Learning to estimate traditional IRT models, including the 2-Parameter Logistic (2PL) and the Graded Response Models, with enhanced privacy. It allows for the estimation in a distributed manner without compromising accuracy. A user-friendly 'shiny' application is included. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: purrr, pracma, shiny, httr, callr, DT, ggplot2, shinyjs,</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Biying Zhou &lt;zby.zhou@mail.utoronto.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Biying Zhou [cre],
  Feng Ji [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=FedIRT/LICENSE)</dc:rights>
  <dc:date>2024-09-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=FedIRT</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.FedIRT</dc:identifier>
</oai_dc:dc>