saebenchmarking: Benchmarking Small Area Estimates and Their Mean Squared Errors

Adjusts model-based small area estimates so that their weighted aggregate agrees with the weighted aggregate of the direct estimates, using the difference, ratio, and optimum benchmarking methods described in Rao and Molina (2015, ISBN:978-1-118-73578-7) and Wang, Fuller and Qu (2008). The mean squared error (MSE) of the benchmarked empirical best linear unbiased predictor (EBLUP) under the Fay-Herriot model is estimated with the second-order approximation or the parametric bootstrap of Steorts and Ghosh (2013) <doi:10.5705/ss.2012.053>. The posterior MSE of the benchmarked hierarchical Bayes (HB) estimator follows Datta, Ghosh, Steorts and Maples (2011) <doi:10.1007/s11749-010-0218-y>.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	sae, stats, withr
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-28
DOI:	10.32614/CRAN.package.saebenchmarking
Author:	Fiona Audia Nauli Sihombing [aut, cre, cph], Azka Ubaidillah [aut]
Maintainer:	Fiona Audia Nauli Sihombing <fionasihombing95 at gmail.com>
BugReports:	https://github.com/fionaaudia/saebenchmarking/issues
License:	MIT + file LICENSE
URL:	https://github.com/fionaaudia/saebenchmarking
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	saebenchmarking results

Documentation:

Reference manual:	saebenchmarking.html , saebenchmarking.pdf
Vignettes:	Introduction to saebenchmarking (source, R code)

Downloads:

Package source:	saebenchmarking_0.1.0.tar.gz
Windows binaries:	r-devel: saebenchmarking_0.1.0.zip, r-release: saebenchmarking_0.1.0.zip, r-oldrel: saebenchmarking_0.1.0.zip
macOS binaries:	r-release (arm64): saebenchmarking_0.1.0.tgz, r-oldrel (arm64): saebenchmarking_0.1.0.tgz, r-release (x86_64): saebenchmarking_0.1.0.tgz, r-oldrel (x86_64): saebenchmarking_0.1.0.tgz

Linking:

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