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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: | 1.1.0 |
| 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: | 2026-06-01 |
| DOI: | 10.32614/CRAN.package.hbsaems |
| Author: | Achmad Syahrul Choir
|
| 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 |
| Reference manual: | hbsaems.html , hbsaems.pdf |
| Vignettes: |
Complete Workflow with hbsaems 1.1.0 (source, R code) |
| Package source: | hbsaems_1.1.0.tar.gz |
| Windows binaries: | r-devel: hbsaems_1.1.0.zip, r-release: hbsaems_1.1.0.zip, r-oldrel: hbsaems_1.1.0.zip |
| macOS binaries: | r-release (arm64): hbsaems_1.1.0.tgz, r-oldrel (arm64): hbsaems_1.1.0.tgz, r-release (x86_64): hbsaems_1.1.0.tgz, r-oldrel (x86_64): hbsaems_1.1.0.tgz |
| Old sources: | hbsaems archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.