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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.1 |
rolling linux/jammy R-4.5 | saeME_1.3.1.tar.gz |
53.5 KiB |
1.3.1 |
rolling linux/noble R-4.5 | saeME_1.3.1.tar.gz |
53.5 KiB |
1.3.1 |
rolling source/ R- | saeME_1.3.1.tar.gz |
14.2 KiB |
1.3.1 |
latest linux/jammy R-4.5 | saeME_1.3.1.tar.gz |
53.5 KiB |
1.3.1 |
latest linux/noble R-4.5 | saeME_1.3.1.tar.gz |
53.5 KiB |
1.3.1 |
latest source/ R- | saeME_1.3.1.tar.gz |
14.2 KiB |
1.3.1 |
2026-04-26 source/ R- | saeME_1.3.1.tar.gz |
14.2 KiB |
1.3.1 |
2026-04-23 source/ R- | saeME_1.3.1.tar.gz |
14.2 KiB |
1.3.1 |
2026-04-09 windows/windows R-4.5 | saeME_1.3.1.zip |
56.7 KiB |
1.3.1 |
2025-04-20 source/ R- | saeME_1.3.1.tar.gz |
14.2 KiB |