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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>.
| Version: | 1.2-1 |
| Depends: | R (≥ 2.14.0), MASS, survey, stats |
| Suggests: | sae |
| Published: | 2023-08-23 |
| DOI: | 10.32614/CRAN.package.sae2 |
| Author: | Robert Fay [aut, cre], Mamadou Diallo [aut] |
| Maintainer: | Robert Fay <bobfay at hotmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | sae2 results |
| Reference manual: | sae2.pdf |
| Package source: | sae2_1.2-1.tar.gz |
| Windows binaries: | r-devel: sae2_1.2-1.zip, r-release: sae2_1.2-1.zip, r-oldrel: sae2_1.2-1.zip |
| macOS binaries: | r-release (arm64): sae2_1.2-1.tgz, r-oldrel (arm64): sae2_1.2-1.tgz, r-release (x86_64): sae2_1.2-1.tgz, r-oldrel (x86_64): sae2_1.2-1.tgz |
| Old sources: | sae2 archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.