saeHB.Spatial.Beta: Small Area Estimation Hierarchical Bayes for Spatial Beta Model

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 (proportions bounded between 0 and 1). The package supports both non-spatial and spatial models based on Simultaneous Autoregressive (SAR) and Leroux Conditional Autoregressive (CAR) structures for area-level random effects, with optional survey design effect (DEFF) adjustments for sampling variances. In addition, it provides utility functions for constructing spatial weights matrices and performing spatial autocorrelation diagnostics. The 'runjags' package is used to obtain posterior estimates via Markov Chain Monte Carlo (MCMC) with parallel computing capabilities. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Liu et al. (2014) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014001/article/14030-eng.pdf>, Kubacki and Jedrzejczak (2016) <doi:10.59170/stattrans-2016-022>, Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>, Chung and Datta (2020) <https://www.census.gov/content/dam/Census/library/working-papers/2020/adrm/RRS2020-07.pdf>, Figueroa-Zúñiga et al. (2013) <doi:10.1016/j.csda.2012.12.002>, Denwood (2016) <doi:10.18637/jss.v071.i09>, Anselin (1988) <doi:10.1007/978-94-015-7799-1>, and Anselin and Morrison (2019) <https://spatialanalysis.github.io/lab_tutorials/Spatial_Weights_as_Distance_Functions.html>.

Version:	0.2.0
Depends:	R (≥ 4.1.0)
Imports:	runjags, coda, stats, grDevices, graphics, sf, spdep
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2
Published:	2026-09-20
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

Documentation:

Reference manual:	saeHB.Spatial.Beta.html , saeHB.Spatial.Beta.pdf
Vignettes:	Getting Started with saeHB.Spatial.Beta (source, R code)

Downloads:

Package source:	saeHB.Spatial.Beta_0.2.0.tar.gz
Windows binaries:	r-devel: saeHB.Spatial.Beta_0.1.1.zip, r-release: saeHB.Spatial.Beta_0.1.1.zip, r-oldrel: saeHB.Spatial.Beta_0.1.1.zip
macOS binaries:	r-release (arm64): saeHB.Spatial.Beta_0.1.1.tgz, r-oldrel (arm64): saeHB.Spatial.Beta_0.1.1.tgz, r-release (x86_64): saeHB.Spatial.Beta_0.2.0.tgz, r-oldrel (x86_64): saeHB.Spatial.Beta_0.1.1.tgz
Old sources:	saeHB.Spatial.Beta archive

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