Benchmarking Small Area Estimates and Their Mean Squared Errors
Overview
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.
- Initial CRAN submission.
From NEWS.md in the release
Install
Health
- OK13 OKNow
- OK3 OK2026-09-28
Documentation
- Help pages
- 5 (1 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 40%
Downloads
Repository
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/fionaaudia/saebenchmarking on 2026-10-25.
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Dependencies
Installing saebenchmarking adds 10 packages (6 with compiled code, 13 MB of source tarballs). Heaviest: lme4 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- saefix by Nov 2
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-09-28 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-09-28
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 6.6 KB / 2 files
- Download size
- 31 KB
Cite
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