sae2
Small Area Estimation: Time-Series Models
Time series area-level models for small area estimation. The package supplements the functionality of the sae package. Specifically, it includes EBLUP fitting of the Rao-Yu model in the original form without a spatial component. The package also offers a modified ("dynamic") version of the Rao-Yu model, replacing the assumption of stationarity. Both univariate and multivariate applications are supported. Of particular note is the allowance for covariance of the area-level sample estimates over time, as encountered in rotating panel designs such as the U.S. National Crime Victimization Survey or present in a time-series of 5-year estimates from the American Community Survey. Key references to the methods include J.N.K. Rao and I. Molina (2015, ISBN:9781118735787), J.N.K. Rao and M. Yu (1994) <doi:10.2307/3315407>, and R.E. Fay and R.A. Herriot (1979) <doi:10.1080/01621459.1979.10482505>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2-2 |
rolling linux/jammy R-4.5 | sae2_1.2-2.tar.gz |
142.3 KiB |
1.2-2 |
rolling linux/noble R-4.5 | sae2_1.2-2.tar.gz |
142.4 KiB |
1.2-2 |
rolling source/ R- | sae2_1.2-2.tar.gz |
26.9 KiB |
1.2-2 |
latest linux/jammy R-4.5 | sae2_1.2-2.tar.gz |
142.3 KiB |
1.2-2 |
latest linux/noble R-4.5 | sae2_1.2-2.tar.gz |
142.4 KiB |
1.2-2 |
latest source/ R- | sae2_1.2-2.tar.gz |
26.9 KiB |
1.2-2 |
2026-04-26 source/ R- | sae2_1.2-2.tar.gz |
26.9 KiB |
1.2-2 |
2026-04-23 source/ R- | sae2_1.2-2.tar.gz |
26.9 KiB |
1.2-2 |
2026-04-09 windows/windows R-4.5 | sae2_1.2-2.zip |
144.5 KiB |
1.2-1 |
2025-04-20 source/ R- | sae2_1.2-1.tar.gz |
25.6 KiB |