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>.

Getting started

Package details

AuthorMuhammad Rifqi Mubarak [aut, cre], Azka Ubaidillah [aut]
MaintainerMuhammad Rifqi Mubarak <16.9304@stis.ac.id>
LicenseGPL-2
Version1.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("saeME")

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saeME documentation built on Jan. 13, 2021, 11:03 a.m.