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: | 1.3.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | MASS, stats |
| Published: | 2023-08-21 |
| DOI: | 10.32614/CRAN.package.saeME |
| 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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