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hbsaems  

Hierarchical Bayesian Area-Level Small Area Estimation Models
View on CRAN: Click here


Download and install hbsaems package within the R console
Install from CRAN:
install.packages("hbsaems")

Install from Github:
library("remotes")
install_github("cran/hbsaems")

Install by package version:
library("remotes")
install_version("hbsaems", "1.1.0")



Attach the package and use:
library("hbsaems")
Maintained by
Achmad Syahrul Choir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-18
Latest Update: 2025-07-18
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) <doi:10.1002/9781118735855>.
How to cite:
Achmad Syahrul Choir (2025). hbsaems: Hierarchical Bayesian Area-Level Small Area Estimation Models. R package version 1.1.0, https://cran.r-project.org/web/packages/hbsaems. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.1.1 (2025-07-18 16:40), 1.0.0 (2026-05-25 04:20)
Other packages that cited hbsaems R package
View hbsaems citation profile
Other R packages that hbsaems depends, imports, suggests or enhances
Complete documentation for hbsaems
Functions, R codes and Examples using the hbsaems R package
Full hbsaems package functions and examples
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