saeHB: Small Area Estimation using Hierarchical Bayesian Method

Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) method with several univariate distributions for variable of interest. The dataset that used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: stringr, coda, rjags, stats, nimble, CARBayesdata, MASS, grDevices, graphics
Suggests: knitr, rmarkdown
Published: 2022-04-08
Author: Azka Ubaidillah [aut], Ika Yuni Wulansari [aut], Zaza Yuda Perwira [aut, cre]
Maintainer: Zaza Yuda Perwira <221710086 at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: JAGS (
Materials: README
CRAN checks: saeHB results


Reference manual: saeHB.pdf
Vignettes: saeHB_vignette


Package source: saeHB_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): saeHB_0.2.1.tgz, r-oldrel (arm64): saeHB_0.2.1.tgz, r-release (x86_64): saeHB_0.2.1.tgz, r-oldrel (x86_64): saeHB_0.2.1.tgz
Old sources: saeHB archive

Reverse dependencies:

Reverse suggests: saeHB.twofold, saeHB.zinb


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