Hierarchical Bayesian Area-Level Small Area Estimation Models R package hbsaems version 1.1.0 Fits area-level Hierarchical Bayesian Small Area Estimation models. The methodological foundation follows the standard area-level Small Area Estimation literature, primarily Rao and Molina (2015, ISBN: 9781118735787) <doi:10.1002/9781118735855>, while computational implementation is adapted to the parameterisation and prior-specification conventions of the 'brms' package <doi:10.18637/jss.v080.i01>, which targets the Stan back-end. Supports a principled Bayesian workflow <doi:10.48550/arXiv.2011.01808>, with prior predictive checks, convergence diagnostics, model comparison, spatial random effects, custom distributions, missing-data handling, and a bilingual 'shiny' application for non-programmer analysts. Software Depends: R (>= 4.0.0) Imports: brms (>= 2.18.0), coda (>= 0.19-4), ggplot2 (>= 3.3.5), mice (>= 3.14.0), rstantools (>= 2.4.0), stats, utils Suggests: bayesplot, bridgesampling, DT, energy, knitr (>= 1.40), loo, mgcv, minerva, mockery, posterior, priorsense, readxl, rmarkdown (>= 2.16), rstan, sf, shiny, shinydashboard (>= 0.7.2), shinyWidgets, shinytest2, spdep, spelling (>= 2.2), testthat (>= 3.0.0) Achmad Syahrul Choir <madsyair@stis.ac.id> Comprehensive R Archive Network (CRAN) Achmad Syahrul Choir [aut, cre] (ORCID: <https://orcid.org/0000-0001-7088-0646>), Saniyyah Sri Nurhayati [aut], Sofi Zamzanah [aut], Arsyka Laila Oktalia Siregar [aut] GPL (>= 3) 2026-06-01 application/tgz https://CRAN.R-project.org/package=hbsaems doi:10.32614/CRAN.package.hbsaems en-US