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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | easyRaschBayes_0.2.0.tar.gz |
653.2 KiB |
0.2.0 |
latest source/ R- | easyRaschBayes_0.2.0.tar.gz |
653.2 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | easyRaschBayes_0.2.0.zip |
640.5 KiB |