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 original Rao-Yu model, which in the original form did not have 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>.
Package details |
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Author | Robert Fay [aut, cre], Mamadou Diallo [aut] |
Maintainer | Robert Fay <bobfay@hotmail.com> |
License | GPL-2 |
Version | 1.2-1 |
Package repository | View on CRAN |
Installation |
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