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cff-version: 1.2.0
message: 'To cite package "easyRasch2" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'easyRasch2: Psychometric Analysis with Rasch Measurement Theory'
version: 0.8.0
doi: 10.32614/CRAN.package.easyRasch2
abstract: Streamlines reproducible Rasch measurement theory analyses for ordinal item-response
  data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and
  'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the
  four basic psychometric criteria summarised by Christensen et al. (2021) <https://doi.org/10.1111/sms.13908>
  -- unidimensionality, local independence, ordered response category thresholds,
  and invariance across subgroups -- together with item fit, targeting, reliability,
  category functioning, and descriptive item-response plots. A distinguishing feature
  is the use of simulation-based critical values to replace rule-of-thumb cutoffs
  for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest
  residual-PCA eigenvalue, and ordinal CFA fit indices. Outputs are knitr::kable()
  tables and 'ggplot2' figures suitable for direct inclusion in 'Quarto' and 'R Markdown'
  reports.
authors:
- family-names: Johansson
  given-names: Magnus
  email: pgmj@pm.me
  orcid: https://orcid.org/0000-0003-1669-592X
repository: https://pgmj.r-universe.dev
repository-code: https://github.com/pgmj/easyRasch2
commit: 0a8e2e816ef2163fca81d9f42278e25ae78e7d88
url: https://pgmj.github.io/easyRasch2/
date-released: '2026-06-08'
contact:
- family-names: Johansson
  given-names: Magnus
  email: pgmj@pm.me
  orcid: https://orcid.org/0000-0003-1669-592X