saery: Small Area Estimation for Rao and Yu Model

Functions to calculate EBLUPs (Empirical Best Linear Unbiased Predictor) estimators and their MSEs (Mean Squared Errors). Estimators are based on an area-level linear mixed model introduced by Rao and Yu (1994) <doi:10.2307/3315407>. The REML (Residual Maximum Likelihood) method is used for fitting the model.

Version:	2.0
Imports:	grDevices, graphics, stats, utils
Published:	2025-02-07
DOI:	10.32614/CRAN.package.saery
Author:	Cabello E. [aut], Esteban M.D. [aut], Morales Domingo [aut], Perez Agustin [aut, cre]
Maintainer:	Perez Agustin <agustin.perez at umh.es>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	saery results

Documentation:

Reference manual:

saery.html , saery.pdf

Downloads:

Package source:	saery_2.0.tar.gz
Windows binaries:	r-devel: saery_2.0.zip, r-release: saery_2.0.zip, r-oldrel: saery_2.0.zip
macOS binaries:	r-release (arm64): saery_2.0.tgz, r-oldrel (arm64): saery_2.0.tgz, r-release (x86_64): saery_2.0.tgz, r-oldrel (x86_64): saery_2.0.tgz
Old sources:	saery archive

Linking:

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