saery: Small Area Estimation for Rao and Yu Model

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.

Version:	1.0
Published:	2014-09-10
Author:	Maria Dolores Esteban Lefler, Domingo Morales Gonzalez, Agustin Perez Martin
Maintainer:	Agustin Perez Martin <agustin.perez at umh.es>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	saery results

Documentation:

Reference manual:

saery.pdf

Downloads:

Package source:	saery_1.0.tar.gz
Windows binaries:	r-devel: saery_1.0.zip, r-release: saery_1.0.zip, r-oldrel: saery_1.0.zip
macOS binaries:	r-release (arm64): saery_1.0.tgz, r-oldrel (arm64): saery_1.0.tgz, r-release (x86_64): saery_1.0.tgz, r-oldrel (x86_64): saery_1.0.tgz

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