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sae2
View on CRAN: Click
here
Download and install sae2 package within the R console
Install from CRAN:
install.packages("sae2")
Install from Github:
library("remotes")
install_github("cran/sae2")
Install by package version:
library("remotes")
install_version("sae2", "1.2-1")
Attach the package and use:
library("sae2")
Maintained by
Robert Fay
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-01-26
Latest Update: 2023-08-23
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 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) , and
R.E. Fay and R.A. Herriot (1979) .
How to cite:
Robert Fay (2015). sae2: Small Area Estimation: Time-Series Models. R package version 1.2-1, https://cran.r-project.org/web/packages/sae2. Accessed 29 Mar. 2025.
Other packages that cited sae2 R package
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Other R packages that sae2 depends,
imports, suggests or enhances
Complete documentation for sae2
Functions, R codes and Examples using
the sae2 R package
Some associated functions: dynRYfit . eblupDyn . geo_ratios . mvrnormSeries . sae2-package . vcovgen .
Some associated R codes: Gamma_u_f.R . Gamma_v_f.R . dynRYfit.R . eblupDyn.R . eblupRY.R . geo_ratios.R . mvrnormSeries.R . orth_c.R . vcovgen.R . Full sae2 package functions and examples
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