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rsae
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rsae . https://github.com/tobiasschoch/rsae/issues . https://github.com/tobiasschoch/rsae . rsae citation info . rsae results . rsae.pdf . rsae_0.3.tar.gz . rsae_0.3.zip . rsae_0.3.zip . rsae_0.3.zip . rsae_0.3.tgz . rsae_0.3.tgz . rsae_0.3.tgz . rsae_0.3.tgz . rsae archive . https://CRAN.R-project.org/package=rsae .
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 23 Apr. 2025.
Previous versions and publish date:
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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