Bayesian Rasch Analysis Using 'brms' // Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Brkner (2021) doi:10.18637/jss.v100.i05 and Brkner (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.