NSAE: Nonstationary Small Area Estimation

Executes spatial nonstationary Fay-Herriot models for small area estimation.The empirical best linear unbiased predictor (EBLUP) under stationary and nonstationary Fay-Herriot models 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>. This package is dedicated to the memory of Dr. Hukum Chandra who passed away while the package creation was in progress.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: rlist
Published: 2021-07-01
Author: Hukum Chandra [aut], Nicola Salvati [aut], Ray Chambers [aut], Saurav Guha [aut, cre]
Maintainer: Saurav Guha <saurav.iasri at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: NSAE results


Reference manual: NSAE.pdf
Package source: NSAE_0.1.1.tar.gz
Windows binaries: r-devel: NSAE_0.1.1.zip, r-release: NSAE_0.1.1.zip, r-oldrel: NSAE_0.1.1.zip
macOS binaries: r-release (arm64): NSAE_0.1.1.tgz, r-release (x86_64): NSAE_0.1.1.tgz, r-oldrel: NSAE_0.1.1.tgz


Please use the canonical form https://CRAN.R-project.org/package=NSAE to link to this page.