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
Documentation
Team
Muhammad Rifqi Mubarak
Azka Ubaidillah
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Last 30 days
This package has been downloaded 181 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 3,127 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 143 downloads.
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Dependencies
- Imports1 package