hbsaems: Hierarchical Bayesian Area-Level Small Area Estimation Models
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.
| Version: |
1.0.0 |
| 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) |
| Published: |
2026-05-25 |
| DOI: |
10.32614/CRAN.package.hbsaems |
| Author: |
Achmad Syahrul Choir
 [aut, cre],
Saniyyah Sri Nurhayati [aut],
Sofi Zamzanah [aut],
Arsyka Laila Oktalia Siregar [aut] |
| Maintainer: |
Achmad Syahrul Choir <madsyair at stis.ac.id> |
| BugReports: |
https://github.com/madsyair/hbsaems/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://madsyair.github.io/hbsaems/,
https://github.com/madsyair/hbsaems |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
hbsaems results |
Documentation:
Downloads:
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