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saery (version 1.0)

Small Area Estimation for Rao and Yu Model

Description

A complete set of functions to calculate several EBLUP (Empirical Best Linear Unbiased Predictor) estimators and their mean squared errors. All estimators are based on an area-level linear mixed model introduced by Rao and Yu in 1994 (see documentation). The REML method is used for fitting this model.

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Version

Install

install.packages('saery')

Monthly Downloads

542

Version

1.0

License

GPL-2

Maintainer

Agustin Perez Martin

Last Published

September 10th, 2014

Functions in saery (1.0)

datos

Dataset for saery package
fit.saery

The function fit.saery is used to fit the correct model for three options.
eblup.saery

The function eblup.saery calculate the eblup and mse for a model.
saery-package

Small Area Estimation for Rao and Yu model