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.
- Version1.3.1
- R version≥ 3.1.0
- LicenseGPL-2
- Needs compilation?No
- Last release08/21/2023
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Team
Muhammad Rifqi Mubarak
Azka Ubaidillah
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- Imports1 package