Package: maSAE 2.0.3.9000
maSAE: Mandallaz' Model-Assisted Small Area Estimators
An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) <doi:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013) <doi:10.1139/cjfr-2013-0181> and Mandallaz (2014) <doi:10.1139/cjfr-2013-0449>. It yields smaller variances than the standard bias correction, the generalised regression estimator.
Authors:
maSAE_2.0.3.9000.tar.gz
maSAE_2.0.3.9000.zip(r-4.7)maSAE_2.0.3.9000.zip(r-4.6)maSAE_2.0.3.9000.zip(r-4.5)
maSAE_2.0.3.9000.tgz(r-4.6-any)maSAE_2.0.3.9000.tgz(r-4.5-any)
maSAE_2.0.3.9000.tar.gz(r-4.7-any)maSAE_2.0.3.9000.tar.gz(r-4.6-any)
maSAE_2.0.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
maSAE/json (API)
| # Install 'maSAE' in R: |
| install.packages('maSAE', repos = c('https://fvafrcu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/fvafrcu/masae
Last updated from:de7d8cafb0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 108 | ||
| macos-oldrel-arm64 | OK | 79 | ||
| windows-devel | OK | 103 | ||
| windows-release | OK | 2913 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 113 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Mandallaz' Model-Assisted Small Area Estimators | maSAE-package |
| Methods for Function 'predict' | predict predict,sadObj-method predict,saeObj-method predict-methods |
| Example s0 Data Set | s0 |
| Example s1 Data Set | s1 |
| Example s2 Data Set | s2 |
| Small Area Design-based Objects | sadObj-class |
| Small Area Estimation Objects | saeObj-class |
| A Constructor for Objects of Class 'sadObj' and 'saeObj' | saObj |
