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 [issues need fixing before 2025-09-03] Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sae2 to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4