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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>.
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Package details |
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| Author | Azka Ubaidillah [aut], Muhammad Rifqi Mubarak [aut, cre] |
| Maintainer | Muhammad Rifqi Mubarak <rifqi.mubarak@bps.go.id> |
| License | GPL-2 |
| Version | 1.3.1 |
| Package repository | View on CRAN |
| Installation |
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