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 dichotomous and polytomous Rasch models, and a hurdle partial credit model. Features include posterior predictive item fit, including infit and item-restscore associations conditional on the total score, 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: | 0.4.0 |
| 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, ggplot2 (≥ 3.4.0), forcats, posterior, scales |
| Suggests: | ggrepel, patchwork, eRm, iarm, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-11-10 |
| DOI: | 10.32614/CRAN.package.easyRaschBayes |
| Author: | Magnus Johansson 
[aut, cre],
Giacomo Bignardi
[ctb] (RMU reliability code),
Kristoffer Magnusson
[ctb]
(hurdle_acat custom brms family) |
| Maintainer: | Magnus Johansson <pgmj at pm.me> |
| BugReports: | https://github.com/pgmj/easyRaschBayes/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/pgmj/easyRaschBayes, https://pgmj.github.io/easyRaschBayes/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | easyRaschBayes results |
Documentation:
| Reference manual: | easyRaschBayes.html , easyRaschBayes.pdf |
| Vignettes: |
Hurdle Partial Credit Model with easyRaschBayes (source) Rasch Partial Credit Model with easyRaschBayes (source) |
Downloads:
| Package source: | easyRaschBayes_0.4.0.tar.gz |
| Windows binaries: | r-devel: easyRaschBayes_0.3.0.zip, r-release: easyRaschBayes_0.3.0.zip, r-oldrel: easyRaschBayes_0.3.0.zip |
| macOS binaries: | r-release (arm64): easyRaschBayes_0.4.0.tgz, r-oldrel (arm64): easyRaschBayes_0.4.0.tgz, r-release (x86_64): easyRaschBayes_0.3.0.tgz, r-oldrel (x86_64): easyRaschBayes_0.3.0.tgz |
| Old sources: | easyRaschBayes archive |
Linking:
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