saeHB.panel.beta: Small Area Estimation using HB for Rao Yu Model under Beta Distribution

Several functions are provided for small area estimation at the area level using the hierarchical bayesian (HB) method with panel data under beta distribution for variable interest. This package also provides a dataset produced by data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators, which include the mean and the variation of the mean. For the reference, see Rao and Molina (2015, ISBN: 978-1-118-73578-7).

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: coda, dplyr, graphics, grDevices, rjags, stats, stringr
Suggests: knitr, R.rsp, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-07-04
DOI: 10.32614/CRAN.package.saeHB.panel.beta
Author: Dian Rahmawati Salis [aut, cre], Azka Ubaidillah [aut]
Maintainer: Dian Rahmawati Salis <dianrahmawatisalis03 at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: JAGS (
Materials: README NEWS
CRAN checks: saeHB.panel.beta results


Reference manual: saeHB.panel.beta.pdf
Vignettes: An Application to HB Rao yu Model Under Beta Distribution On sampel dataset


Package source: saeHB.panel.beta_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): saeHB.panel.beta_0.1.3.tgz, r-oldrel (arm64): saeHB.panel.beta_0.1.3.tgz, r-release (x86_64): saeHB.panel.beta_0.1.3.tgz, r-oldrel (x86_64): saeHB.panel.beta_0.1.3.tgz
Old sources: saeHB.panel.beta archive


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