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: 1.2.3
Depends: R (≥ 3.1.0)
Imports: expm, MASS, stats, dplyr
Published: 2020-10-12
Author: Muhammad Rifqi Mubarak [aut, cre], Azka Ubaidillah [aut]
Maintainer: Muhammad Rifqi Mubarak <16.9304 at stis.ac.id>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: saeME results

Downloads:

Reference manual: saeME.pdf
Package source: saeME_1.2.3.tar.gz
Windows binaries: r-devel: saeME_1.2.3.zip, r-release: saeME_1.2.3.zip, r-oldrel: saeME_1.2.3.zip
macOS binaries: r-release: saeME_1.2.3.tgz, r-oldrel: saeME_1.2.3.tgz
Old sources: saeME archive

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