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CRAN: Package saeHB

saeHB: Small Area Estimation using Hierarchical Bayesian Method

Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) methods with several univariate distributions for variables of interest. The dataset that is used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve 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: 0.2.2 Depends: R (≥ 2.10) Imports: stringr, coda, rjags, stats, nimble, CARBayesdata, MASS, grDevices, graphics Suggests: knitr, rmarkdown Published: 2023-11-08 DOI: 10.32614/CRAN.package.saeHB Author: Zaza Yuda Perwira [aut, cre], Azka Ubaidillah [aut], Ika Yuni Wulansari [aut] Maintainer: Zaza Yuda Perwira <zazaperwira at bps.go.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: Downloads: Linking:

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