| Type: | Package |
| Title: | Selecting Auxiliary Variables in Small Area Estimation (SAE) Model |
| Version: | 0.1.0 |
| Imports: | sae |
| Author: | Azka Ubaidillah [aut], Sheerin Dahwan Aziz [aut, cre] |
| Maintainer: | Sheerin Dahwan Aziz <sheerindahwan@gmail.com> |
| Description: | Select best combination of auxiliary variables with certain criterion. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.2 |
| Depends: | R (≥ 2.10) |
| NeedsCompilation: | no |
| Packaged: | 2021-12-07 08:24:08 UTC; Sheerin |
| Repository: | CRAN |
| Date/Publication: | 2021-12-07 11:00:02 UTC |
Dataset
Description
Dataset
Usage
data(data)
Format
An object of class
Selecting Auxiliary Variables in Small Area Estimation (SAE) Model
Description
Select best combination of auxiliary variables with certain criterion
Usage
eblupBest(y, x, vardir, criterion = "AIC", data)
Arguments
y |
name of response variable |
x |
vector of auxiliary variables' name |
vardir |
name of variance direct |
criterion |
"loglike","AIC", "BIC", and "KIC" (default = "AIC") |
data |
input dataset |
Value
an EBLUP-FH model with best auxiliary variables and the dataset
Examples
library(saeBest)
example = eblupBest(y = "y", x = c("x1","x2","x3"), vardir = "var",data = data)