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: |
1.3 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
MASS, stats |
| Published: |
2022-04-21 |
| Author: |
Azka Ubaidillah [aut],
Muhammad Rifqi Mubarak [aut, cre] |
| Maintainer: |
Muhammad Rifqi Mubarak <rifqi.mubarak at bps.go.id> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
saeME results |
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