Provides several functions and datasets for area-level Small Area Estimation using the Hierarchical Bayesian (HB) method. Model-based estimators are designed for variables of interest that follow a Beta distribution. The package supports spatial structures under the Simultaneous Autoregressive (SAR) and Leroux Conditional Autoregressive (CAR) models, accommodating survey design effect (DEFF) adjustments. The 'rjags' package is employed to obtain parameter estimates via Gibbs Sampling. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Kubacki and Jedrzejczak (2016) <doi:10.59170/stattrans-2016-022>, Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>, and Chung and Datta (2020) <https://www.census.gov/content/dam/Census/library/working-papers/2020/adrm/RRS2020-07.pdf>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | rjags, coda, stats, grDevices, graphics, sf, spdep |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2 |
| Published: | 2026-07-01 |
| DOI: | 10.32614/CRAN.package.saeHB.Spatial.Beta |
| Author: | Boby Iwan [aut, cre], Cucu Sumarni [aut] |
| Maintainer: | Boby Iwan <bobyiwanboby2122 at gmail.com> |
| BugReports: | https://github.com/BobyIwan/saeHB.Spatial.Beta/issues |
| License: | GPL-3 |
| URL: | https://github.com/BobyIwan/saeHB.Spatial.Beta |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net) |
| Materials: | README |
| CRAN checks: | saeHB.Spatial.Beta results |
| Reference manual: | saeHB.Spatial.Beta.html , saeHB.Spatial.Beta.pdf |
| Vignettes: |
Getting Started with saeHB.Spatial.Beta (source, R code) |
| Package source: | saeHB.Spatial.Beta_0.1.0.tar.gz |
| Windows binaries: | r-devel: saeHB.Spatial.Beta_0.1.0.zip, r-release: saeHB.Spatial.Beta_0.1.0.zip, r-oldrel: saeHB.Spatial.Beta_0.1.0.zip |
| macOS binaries: | r-release (arm64): saeHB.Spatial.Beta_0.1.0.tgz, r-oldrel (arm64): saeHB.Spatial.Beta_0.1.0.tgz, r-release (x86_64): saeHB.Spatial.Beta_0.1.0.tgz, r-oldrel (x86_64): saeHB.Spatial.Beta_0.1.0.tgz |
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