NSAE: Nonstationary Small Area Estimation

Executes nonstationary Fay-Herriot model and nonstationary generalized linear mixed model for small area estimation.The empirical best linear unbiased predictor (EBLUP) under stationary and nonstationary Fay-Herriot models and empirical best predictor (EBP) under nonstationary generalized linear mixed model along with the mean squared error estimation are included. EBLUP for prediction of non-sample area is also included under both stationary and nonstationary Fay-Herriot models. This extension to the Fay-Herriot model that accounts for the presence of spatial nonstationarity was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2015) <doi:10.1093/jssam/smu026> and nonstationary generalized linear mixed model was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2017) <doi:10.1016/j.spasta.2017.01.004>. This package is dedicated to the memory of Dr. Hukum Chandra who passed away while the package creation was in progress.

Getting started

Package details

AuthorHukum Chandra [aut], Nicola Salvati [aut], Ray Chambers [aut], Saurav Guha [aut, cre]
MaintainerSaurav Guha <saurav.iasri@gmail.com>
LicenseGPL-3
Version0.4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NSAE")

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NSAE documentation built on May 28, 2022, 1:08 a.m.