Hierarchical Bayes Small Area Estimation Model using 'Stan'
Description
Implementing Hierarchical Bayesian Small Area Estimation
models using the 'brms' package as the computational backend. The
modeling framework follows the methodological foundations described in area-level
models. This package is designed to facilitate a principled Bayesian workflow,
enabling users to conduct prior predictive checks, model fitting, posterior
predictive checks, model comparison, and sensitivity analysis in a coherent and
reproducible manner. It supports flexible model specifications via 'brms' and
promotes transparency in model development, aligned with the recommendations of
modern Bayesian data analysis practices, implementing methods described in
Rao and Molina (2015) .