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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "mirt" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'mirt: Multidimensional Item Response Theory'
version: '1.43'
doi: 10.18637/jss.v048.i06
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mirt
- type: url
  value: https://github.com/philchalmers/mirt/wiki
- type: url
  value: https://groups.google.com/forum/#!forum/mirt-package
abstract: Analysis of discrete response data using unidimensional and multidimensional
  item analysis models under the Item Response Theory paradigm (Chalmers (2012) <https://doi.org/10.18637/jss.v048.i06>).
  Exploratory and confirmatory item factor analysis models are estimated with quadrature
  (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier models are
  available for modeling item testlets using dimension reduction EM algorithms, while
  multiple group analyses and mixed effects designs are included for detecting differential
  item, bundle, and test functioning, and for modeling item and person covariates.
  Finally, latent class models such as the DINA, DINO, multidimensional latent class,
  mixture IRT models, and zero-inflated response models are supported.
authors:
- family-names: Chalmers
  given-names: Phil
  email: rphilip.chalmers@gmail.com
  orcid: https://orcid.org/0000-0001-5332-2810
preferred-citation:
  type: article
  title: 'mirt: A Multidimensional Item Response Theory Package for the R Environment'
  authors:
  - family-names: Chalmers
    given-names: R. Philip
  journal: Journal of Statistical Software
  year: '2012'
  volume: '48'
  issue: '6'
  doi: 10.18637/jss.v048.i06
  start: '1'
  end: '29'
repository: https://CRAN.R-project.org/package=mirt
repository-code: https://github.com/philchalmers/mirt/issues?state=open
url: https://philchalmers.github.io/mirt/
date-released: '2024-11-14'
contact:
- family-names: Chalmers
  given-names: Phil
  email: rphilip.chalmers@gmail.com
  orcid: https://orcid.org/0000-0001-5332-2810