saeHB.spatial: Small Area Estimation Hierarchical Bayes For Spatial Model

Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

Version:	0.1.1
Depends:	R (≥ 2.10)
Imports:	stringr, coda, rjags, stats, grDevices, graphics
Suggests:	rmarkdown, knitr
Published:	2024-11-22
DOI:	10.32614/CRAN.package.saeHB.spatial
Author:	Arina Mana Sikana [aut, cre], Azka Ubaidillah [aut]
Maintainer:	Arina Mana Sikana <sikanaradrianan at gmail.com>
BugReports:	https://github.com/arinams/saeHB.spatial/issues
License:	GPL-3
URL:	https://github.com/arinams/saeHB.spatial
NeedsCompilation:	no
SystemRequirements:	JAGS (http://mcmc-jags.sourceforge.net)
CRAN checks:	saeHB.spatial results

Documentation:

Reference manual:	saeHB.spatial.pdf
Vignettes:	saeHB_spatial (source, R code)

Downloads:

Package source:	saeHB.spatial_0.1.1.tar.gz
Windows binaries:	r-devel: saeHB.spatial_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): saeHB.spatial_0.1.1.tgz, r-oldrel (arm64): saeHB.spatial_0.1.1.tgz, r-release (x86_64): saeHB.spatial_0.1.1.tgz, r-oldrel (x86_64): saeHB.spatial_0.1.1.tgz
Old sources:	saeHB.spatial archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=saeHB.spatial to link to this page.