Package: sae2 Version: 1.2-2 Date: 2025-08-26 Title: Small Area Estimation: Time-Series Models Authors@R: c(person(given="Robert", family="Fay", role=c("aut", "cre"), email="bobfay@hotmail.com"), person(family="Diallo", given="Mamadou", role="aut", email="diallo-mamadou@norc.org")) Author: Robert Fay [aut, cre], Mamadou Diallo [aut] Maintainer: Robert Fay Depends: R (>= 2.14.0), MASS, survey, stats Suggests: sae Description: 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) , and R.E. Fay and R.A. Herriot (1979) . License: GPL-2 NeedsCompilation: no Packaged: 2026-09-26 10:26:47 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2025-08-26 21:50:02 UTC RemoteUrl: https://github.com/cran/sae2 RemoteRef: HEAD RemoteSha: e7bd0cc7bc8bfbf8d8e5455695446b13985d34a2