saeME: Small Area Estimation with Measurement Error

A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.

Version:	1.3.1
Depends:	R (≥ 3.1.0)
Imports:	MASS, stats
Published:	2023-08-21
DOI:	10.32614/CRAN.package.saeME
Author:	Azka Ubaidillah [aut], Muhammad Rifqi Mubarak [aut, cre]
Maintainer:	Muhammad Rifqi Mubarak <rifqi.mubarak at bps.go.id>
License:	GPL-2
NeedsCompilation:	no
Materials:	README
CRAN checks:	saeME results

Documentation:

Reference manual:

saeME.html , saeME.pdf

Downloads:

Package source:	saeME_1.3.1.tar.gz
Windows binaries:	r-devel: saeME_1.3.1.zip, r-release: saeME_1.3.1.zip, r-oldrel: saeME_1.3.1.zip
macOS binaries:	r-release (arm64): saeME_1.3.1.tgz, r-oldrel (arm64): saeME_1.3.1.tgz, r-release (x86_64): saeME_1.3.1.tgz, r-oldrel (x86_64): saeME_1.3.1.tgz
Old sources:	saeME archive

Linking:

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