easyRaschBayes: Bayesian Rasch Analysis Using 'brms'
Reproduces classic Rasch psychometric analysis features
using Bayesian item response theory models fitted with 'brms' following
Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>.
Supports both dichotomous and polytomous Rasch models.
Features include posterior predictive item fit, conditional infit, item-restscore
associations, person fit, differential item functioning, local dependence
assessment via Q3 residual correlations, dimensionality assessment with
residual principal components analysis, person-item targeting plots,
item category probability curves, and reliability using relative
measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
brms (≥ 2.20.0), rlang (≥ 1.0.0), dplyr (≥ 1.1.0), tidyr (≥ 1.3.0), tibble (≥ 3.0.0), ggdist, stats, grDevices |
| Suggests: |
ggplot2 (≥ 3.4.0), ggrepel, patchwork, eRm, testthat (≥
3.0.0), knitr, rmarkdown |
| Published: |
2026-03-11 |
| DOI: |
10.32614/CRAN.package.easyRaschBayes (may not be active yet) |
| Author: |
Magnus Johansson 
[aut, cre],
Giacomo Bignardi [ctb] (RMU reliability code) |
| Maintainer: |
Magnus Johansson <pgmj at pm.me> |
| BugReports: |
https://github.com/pgmj/easyRaschBayes/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/pgmj/easyRaschBayes |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
easyRaschBayes results |
Documentation:
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