<?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>Power Analysis for IRT Models Using the Wald, LR, Score, and
Gradient Statistics</dc:title>
  <dc:title>R package irtpwr version 1.0.3</dc:title>
  <dc:description>Implementation of analytical and sampling-based power analyses for
    the Wald, likelihood ratio (LR), score, and gradient tests. Can be applied
    to item response theory (IRT) models that are fitted using marginal maximum
    likelihood estimation. The methods are described in our paper
    (Zimmer et al. (2022) &lt;doi:10.1007/s11336-022-09883-5&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: mirt, Deriv, digest, spatstat.random, ggplot2, methods</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown</dc:relation>
  <dc:creator>Felix Zimmer &lt;felix.zimmer@mail.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Felix Zimmer [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-8127-0007&gt;),
  Rudolf Debelak [aut] (ORCID: &lt;https://orcid.org/0000-0001-8900-2106&gt;),
  Jan Radek [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-11-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=irtpwr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.irtpwr</dc:identifier>
</oai_dc:dc>
