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: 0.2.0
Depends: R (≥ 2.10)
Imports: stringr, coda, rjags, stats, grDevices, graphics, nimble, CARBayesdata, MASS
Suggests: knitr, rmarkdown
Published: 2022-02-25
Author: Azka Ubaidillah [aut], Ika Yuni Wulansari [aut], Zaza Yuda Perwira [aut, cre]
Maintainer: Zaza Yuda Perwira <221710086 at stis.ac.id>
BugReports: https://github.com/zazaperwira/saeHB/issues
License: GPL-3
URL: https://github.com/zazaperwira/saeHB
NeedsCompilation: no
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Materials: README
CRAN checks: saeHB results

Documentation:

Reference manual: saeHB.pdf
Vignettes: saeHB_vignette

Downloads:

Package source: saeHB_0.2.0.tar.gz
Windows binaries: r-devel: saeHB_0.2.0.zip, r-release: saeHB_0.2.0.zip, r-oldrel: saeHB_0.2.0.zip
macOS binaries: r-release (arm64): saeHB_0.2.0.tgz, r-release (x86_64): saeHB_0.1.0.tgz, r-oldrel: saeHB_0.1.0.tgz
Old sources: saeHB archive

Reverse dependencies:

Reverse suggests: saeHB.twofold, saeHB.zinb

Linking:

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