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.
| Version: |
0.4.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
rlist, cluster, MASS, lattice, Matrix, numDeriv, nlme, spgwr, SemiPar |
| Published: |
2022-05-27 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=NSAE
to link to this page.