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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 "IRTM" in publications use:'
type: software
license: MIT
title: 'IRTM: Theory-Driven Item Response Theory (IRT) Models'
version: 0.0.1.2
doi: 10.32614/CRAN.package.IRTM
abstract: 'IRT-M is a semi-supervised approach based on Bayesian Item Response Theory
  that produces theoretically identified underlying dimensions from input data and
  a constraints matrix. The methodology is fully described in ''Morucci et al. (2024),
  "Measurement That Matches Theory: Theory-Driven Identification in Item Response
  Theory Models"''. Details are available at <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.'
authors:
- family-names: Morucci
  given-names: Marco
  email: moruccim@msu.edu
- family-names: Foster
  given-names: Margaret
  email: m.jenkins.foster@gmail.com
  orcid: https://orcid.org/0000-0002-6418-8394
- family-names: Siegel
  given-names: David
  email: david.siegel@duke.edu
  orcid: https://orcid.org/0000-0003-1619-6119
repository: https://dasiegel.r-universe.dev
commit: a9559886041480ce5785d4ac86f3f0f5bcc30766
date-released: '2026-04-21'
contact:
- family-names: Siegel
  given-names: David
  email: david.siegel@duke.edu
  orcid: https://orcid.org/0000-0003-1619-6119