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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | hbsaems_0.1.1.tar.gz |
483.6 KiB |
0.1.1 |
rolling linux/jammy R-4.5 | hbsaems_0.1.1.tar.gz |
588.1 KiB |
0.1.1 |
rolling linux/noble R-4.5 | hbsaems_0.1.1.tar.gz |
588.1 KiB |
0.1.1 |
latest source/ R- | hbsaems_0.1.1.tar.gz |
483.6 KiB |
0.1.1 |
latest linux/jammy R-4.5 | hbsaems_0.1.1.tar.gz |
588.1 KiB |
0.1.1 |
latest linux/noble R-4.5 | hbsaems_0.1.1.tar.gz |
588.1 KiB |
0.1.1 |
2026-04-23 source/ R- | hbsaems_0.1.1.tar.gz |
483.6 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | hbsaems_0.1.1.zip |
612.9 KiB |