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rsae  

Robust Small Area Estimation
View on CRAN: Click here


Download and install rsae package within the R console
Install from CRAN:
install.packages("rsae")

Install from Github:
library("remotes")
install_github("cran/rsae")

Install by package version:
library("remotes")
install_version("rsae", "0.3")



Attach the package and use:
library("rsae")
Maintained by
Tobias Schoch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-07-23
Latest Update: 2024-02-06
Description:
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.
How to cite:
Tobias Schoch (2011). rsae: Robust Small Area Estimation. R package version 0.3, https://cran.r-project.org/web/packages/rsae. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.1-2 (2011-07-23 16:42), 0.1-3 (2011-07-26 00:02), 0.1-4 (2012-01-08 17:05), 0.1-5 (2014-02-13 18:17), 0.2 (2022-05-24 12:00)
Other packages that cited rsae R package
View rsae citation profile
Other R packages that rsae depends, imports, suggests or enhances
Complete documentation for rsae
Functions, R codes and Examples using the rsae R package
Some associated functions: fitsaemodel.control . fitsaemodel . landsat . makedata . robpredict . rsae-package . saemodel . 
Some associated R codes: convergence.R . fitsaemodel.R . makedata.R . model_b.R . robpredict.R . saemodel.R .  Full rsae package functions and examples
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