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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "hIRT" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'hIRT: Hierarchical Item Response Theory Models'
version: 0.5.0
doi: 10.32614/CRAN.package.hIRT
abstract: Implementation of a class of hierarchical item response theory (IRT) models
  where both the mean and the variance of latent preferences (ability parameters)
  may depend on observed covariates. The current implementation includes both the
  two-parameter latent trait model for binary data and the graded response model for
  ordinal data. Both are fitted via the Expectation-Maximization (EM) algorithm. Asymptotic
  standard errors are derived from the observed information matrix. See Zhou (2019)
  <https://doi.org/10.1017/pan.2018.63> for details.
authors:
- family-names: Zhou
  given-names: Xiang
  email: xiang_zhou@fas.harvard.edu
repository: https://cran.r-universe.dev
repository-code: https://github.com/xiangzhou09/hIRT
commit: f3479eb3620f3b522a441337e31d2d54f49183f4
url: https://github.com/xiangzhou09/hIRT
date-released: '2026-10-28'
contact:
- family-names: Zhou
  given-names: Xiang
  email: xiang_zhou@fas.harvard.edu