saeHB.panel: Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model

We designed this package to provide several functions for area level of small area estimation using hierarchical Bayesian (HB) method. This package provides model using panel data for variable interest.This package also provides a dataset produced by a data generation. 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).

Version:	0.1.1
Depends:	R (≥ 2.10)
Imports:	stringr, coda, rjags, stats, grDevices, graphics
Suggests:	knitr, rmarkdown
Published:	2022-05-10
DOI:	10.32614/CRAN.package.saeHB.panel
Author:	Velia Tri Marliana [aut, cre], Azka Ubaidillah [aut]
Maintainer:	Velia Tri Marliana <221810642 at stis.ac.id>
BugReports:	https://github.com/Veliatrimarliana/saeHB.panel/issues
License:	GPL-3
URL:	https://github.com/Veliatrimarliana/saeHB.panel
NeedsCompilation:	no
SystemRequirements:	JAGS (http://mcmc-jags.sourceforge.net)
Materials:	README
CRAN checks:	saeHB.panel results

Documentation:

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

Downloads:

Package source:	saeHB.panel_0.1.1.tar.gz
Windows binaries:	r-devel: saeHB.panel_0.1.1.zip, r-release: saeHB.panel_0.1.1.zip, r-oldrel: saeHB.panel_0.1.1.zip
macOS binaries:	r-release (arm64): saeHB.panel_0.1.1.tgz, r-oldrel (arm64): saeHB.panel_0.1.1.tgz, r-release (x86_64): saeHB.panel_0.1.1.tgz, r-oldrel (x86_64): saeHB.panel_0.1.1.tgz
Old sources:	saeHB.panel archive

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