saery
Small Area Estimation for Rao and Yu Model
Functions to calculate EBLUPs (Empirical Best Linear Unbiased Predictor) estimators and their MSEs (Mean Squared Errors). Estimators are based on an area-level linear mixed model introduced by Rao and Yu (1994) <doi:10.2307/3315407>. The REML (Residual Maximum Likelihood) method is used for fitting the model.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | saery_2.0.tar.gz |
159.1 KiB |
2.0 |
rolling linux/noble R-4.5 | saery_2.0.tar.gz |
159.1 KiB |
2.0 |
rolling source/ R- | saery_2.0.tar.gz |
54.0 KiB |
2.0 |
latest linux/jammy R-4.5 | saery_2.0.tar.gz |
159.1 KiB |
2.0 |
latest linux/noble R-4.5 | saery_2.0.tar.gz |
159.1 KiB |
2.0 |
latest source/ R- | saery_2.0.tar.gz |
54.0 KiB |
2.0 |
2026-04-26 source/ R- | saery_2.0.tar.gz |
54.0 KiB |
2.0 |
2026-04-23 source/ R- | saery_2.0.tar.gz |
54.0 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | saery_2.0.zip |
161.9 KiB |
2.0 |
2025-04-20 source/ R- | saery_2.0.tar.gz |
54.0 KiB |