Small Area Estimation Hierarchical Bayes for Spatial Beta Model R package saeHB.Spatial.Beta version 0.1.0 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>. Software Depends: R (>= 4.1.0) Imports: rjags, coda, stats, grDevices, graphics, sf, spdep Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2 Boby Iwan <bobyiwanboby2122@gmail.com> Comprehensive R Archive Network (CRAN) Boby Iwan [aut, cre], Cucu Sumarni [aut] GPL-3 2026-07-01 application/tgz https://CRAN.R-project.org/package=saeHB.Spatial.Beta doi:10.32614/CRAN.package.saeHB.Spatial.Beta