A simulated dataset created by the authors in order to check the correct operation of the saery package

1 |

A simulated data frame with 2000 observations on the following 6 variables.

`Area`

a numeric vector with the area (domain) of the data

`Period`

a numeric vector with the period (subdomain) of the data

`ydi`

a numeric vector with the direct estimator of the indicator of interest for area (domain)

`ones`

a numeric vector. This is only needed to include the intercept parameter in the model

`xdi`

a numeric vector containing the aggregated (population) values of an auxiliary variable

`sigma2edi`

a numeric vector with the known variance of the error term

1 2 3 4 5 6 7 8 9 10 11 12 | ```
sigma2edi <- datos[,6]
X <- as.matrix(datos[,5])
ydi <- datos[,3]
D <- length(unique(datos[,1]))
md <- rep(length(unique(datos[,2])), D)
output.fit.ar1 <- fit.saery(X, ydi, D, md, sigma2edi, "AR", 0.9)
output.fit.ar1
#For computational reasons B is too low. We recomend to increase up to 100
eblup.output.ar1 <- eblup.saery(X, ydi, D, md, sigma2edi, "a", plot = TRUE, B = 2)
eblup.output.ar1
``` |

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