hbsae: Hierarchical Bayesian Small Area Estimation

Functions to compute small area estimates based on a basic area or unit-level model. The model is fit using restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration is used to average over the posterior density for the between-area variance. The output includes the model fit, small area estimates and corresponding mean squared errors, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and mean squared errors, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.

Version: 1.2
Depends: R (≥ 2.15.2)
Imports: Matrix, methods
Suggests: mcmcsae, survey, knitr, hypergeo, testthat
Published: 2022-03-05
DOI: 10.32614/CRAN.package.hbsae
Author: Harm Jan Boonstra [aut, cre]
Maintainer: Harm Jan Boonstra <hjboonstra at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: Bayesian, OfficialStatistics
CRAN checks: hbsae results


Reference manual: hbsae.pdf


Package source: hbsae_1.2.tar.gz
Windows binaries: r-devel: hbsae_1.2.zip, r-release: hbsae_1.2.zip, r-oldrel: hbsae_1.2.zip
macOS binaries: r-release (arm64): hbsae_1.2.tgz, r-oldrel (arm64): hbsae_1.2.tgz, r-release (x86_64): hbsae_1.2.tgz, r-oldrel (x86_64): hbsae_1.2.tgz
Old sources: hbsae archive

Reverse dependencies:

Reverse imports: FIESTAutils


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