hbsaems: Hierarchical Bayes Small Area Estimation Model using 'Stan'

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) <doi:10.1002/9781118735855>.

Version:	0.1.1
Depends:	R (≥ 3.6.0), brms
Imports:	bayesplot, bridgesampling, coda, DT, energy, ggplot2, grDevices, mice, minerva, priorsense, posterior, readxl, shiny, shinyWidgets, shinydashboard, stats, tools, XICOR
Suggests:	spelling, kableExtra, knitr, rmarkdown, Matrix, mockery, testthat (≥ 3.0.0)
Published:	2025-07-18
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://github.com/madsyair/hbsaems
NeedsCompilation:	no
Language:	en-US
Citation:	hbsaems citation info
Materials:	NEWS
CRAN checks:	hbsaems results

Documentation:

Reference manual:

hbsaems.html , hbsaems.pdf

Vignettes:

Beta-logit-normal model for small area estimation in hbsaems package (source, R code) Logit-normal model for small area estimation in hbsaems package (source, R code) Handling missing data in small area estimation in hbsaems package (source, R code) Hbsaems lognormal-lognormal model (source, R code) Hierarchical bayesian model small area estimation in hbsaems package (source, R code) Graphical user interface of hbsaems using shiny (source, R code) Small area estimation using spatial modeling in hbsaems (source, R code)

Downloads:

Package source:	hbsaems_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: hbsaems_0.1.1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): hbsaems_0.1.1.tgz, r-oldrel (x86_64): hbsaems_0.1.1.tgz

Linking:

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