rsae: Robust Small Area Estimation
Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.
| Version: | 0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics |
| Suggests: | knitr, rmarkdown, robustbase, nlme |
| Published: | 2022-05-24 |
| Author: | Tobias Schoch 
[aut, cre],
Brent Richard [cph] (F77 code zeroin.f) |
| Maintainer: | Tobias Schoch <tobias.schoch at fhnw.ch> |
| BugReports: | https://github.com/tobiasschoch/rsae/issues |
| License: | GPL-2 | GPL-3 | FreeBSD [expanded from: GPL (≥ 2) | FreeBSD] |
| URL: | https://github.com/tobiasschoch/rsae |
| NeedsCompilation: | yes |
| Citation: | rsae citation info |
| Materials: | NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | rsae results |
Documentation:
| Reference manual: | rsae.pdf |
| Vignettes: |
Robust Estimation and Prediction Under the Unit-Level SAE Model |
Downloads:
| Package source: | rsae_0.2.tar.gz |
| Windows binaries: | r-devel: rsae_0.2.zip, r-release: rsae_0.2.zip, r-oldrel: rsae_0.2.zip |
| macOS binaries: | r-release (arm64): rsae_0.2.tgz, r-oldrel (arm64): rsae_0.2.tgz, r-release (x86_64): rsae_0.2.tgz, r-oldrel (x86_64): rsae_0.2.tgz |
| Old sources: | rsae archive |
Reverse dependencies:
| Reverse suggests: | maSAE, spaMM |
Linking:
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