Why benchmarking? | Data | Point benchmarking | MSE of benchmarked EBLUPs | Posterior MSE of benchmarked HB estimates | References
Package: saebenchmarking 0.1.0
Fiona Audia Nauli Sihombing
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>.
Authors:
saebenchmarking_0.1.0.tar.gz
saebenchmarking_0.1.0.zip(r-4.7-any)saebenchmarking_0.1.0.zip(r-4.6-any)saebenchmarking_0.1.0.zip(r-4.5-any)
saebenchmarking_0.1.0.tgz(r-4.6-any)saebenchmarking_0.1.0.tgz(r-4.5-any)
saebenchmarking_0.1.0.tar.gz(r-4.7-any)saebenchmarking_0.1.0.tar.gz(r-4.6-any)
saebenchmarking_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
saebenchmarking/json (API)
| # Install 'saebenchmarking' in R: |
| install.packages('saebenchmarking', repos = c('https://fionaaudia.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fionaaudia/saebenchmarking/issues
Datasets:
- data_eblup - Sample Data for Fay-Herriot Model with EBLUP Estimation
- data_hb - Sample Data for Fay-Herriot Model with Hierarchical Bayes Estimation
Last updated from:5f2ffde97f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 160 | ||
| source / vignettes | OK | 219 | ||
| linux-release | OK | 161 | ||
| macos-release | OK | 191 | ||
| macos-oldrel | OK | 156 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 125 |
Exports:mse_benchmarkingsae_benchmarking
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulassaewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sample Data for Fay-Herriot Model with EBLUP Estimation | data_eblup |
| Sample Data for Fay-Herriot Model with Hierarchical Bayes Estimation | data_hb |
| Estimate the MSE of Benchmarked Small Area Estimates | mse_benchmarking |
| Benchmark small area estimates | sae_benchmarking |