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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:0.3
Depends:R (≥ 3.5.0)
Imports:stats, graphics
Suggests:knitr,rmarkdown,robustbase
Published:2024-02-06
DOI:10.32614/CRAN.package.rsae
Author:Tobias SchochORCID iD [aut, cre], Burkardt John [cph] (Fortran 90 subroutine zero_rc)
Maintainer:Tobias Schoch <tobias.schoch at fhnw.ch>
BugReports:https://github.com/tobiasschoch/rsae/issues
License:GPL-3
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.html ,rsae.pdf
Vignettes:Robust Estimation and Prediction Under the Unit-Level SAE Model (source,R code)

Downloads:

Package source: rsae_0.3.tar.gz
Windows binaries: r-devel:rsae_0.3.zip, r-release:rsae_0.3.zip, r-oldrel:rsae_0.3.zip
macOS binaries: r-release (arm64):rsae_0.3.tgz, r-oldrel (arm64):rsae_0.3.tgz, r-release (x86_64):rsae_0.3.tgz, r-oldrel (x86_64):rsae_0.3.tgz
Old sources: rsae archive

Reverse dependencies:

Reverse suggests:maSAE,spaMM

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rsaeto link to this page.


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