saeHB.twofold: Hierarchical Bayes Twofold Subarea Level Model SAE

We designed this package to provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Univariate Normal distribution for variables of interest. Some dataset simulated by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates using Gibbs Sampling algorithm. Model-based estimators involves the HB estimators which include the mean, the variation of mean, and the quantile. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: rjags, coda, stringr, stats, grDevices, graphics, data.table, utils
Suggests: saeHB, knitr, rmarkdown
Published: 2022-05-09
Author: Reyhan Saadi [aut, cre], Azka Ubaidillah [aut]
Maintainer: Reyhan Saadi <221810557 at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: JAGS (
Materials: README
CRAN checks: saeHB.twofold results


Reference manual: saeHB.twofold.pdf
Vignettes: An Application to HB Twofold Normal Model


Package source: saeHB.twofold_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): saeHB.twofold_0.1.1.tgz, r-oldrel (arm64): saeHB.twofold_0.1.1.tgz, r-release (x86_64): saeHB.twofold_0.1.1.tgz, r-oldrel (x86_64): saeHB.twofold_0.1.1.tgz
Old sources: saeHB.twofold archive


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