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 <bobfay@hotmail.com>
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) <doi:10.2307/3315407>, and
      R.E. Fay and R.A. Herriot (1979) <doi:10.1080/01621459.1979.10482505>.
License: GPL-2
NeedsCompilation: no
Packaged: 2025-08-26 21:18:10 UTC; bobfa
Repository: CRAN
Date/Publication: 2025-08-26 21:50:02 UTC
Built: R 4.6.0; ; 2026-04-28 10:28:10 UTC; unix
