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: saeHB.spatial_0.1.1.zip, r-oldrel: saeHB.spatial_0.1.1.zip
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

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