datasaeu | R Documentation |
This data is generated based on univariate Fay-Herriot model and then transformed by using inverse Additive Logistic Transformation (alr). The steps are as follows:
\beta
are set to be \beta_{0} = \beta_{1} = \beta_{2} = 1
Auxiliary variables are set as follows:
x_{1} \sim N(0, 1)
x_{2} \sim N(0.5, 1)
For random effects, u \sim N(0, V_{u})
, where V_{u} = 1
.
For sampling errors e \sim N(0, V_{ed})
, where V_{ed}
is generated V_{ed} \sim InvGamma(50, 0.5)
.
The generated data is transformed using inverse alr transformation, so the data will be within the range of proportion.
Auxiliary variables x_{1}, x_{2}
, direct estimation y
, and sampling variance vardir
are combined into a data frame called datasaeu.
datasaeu
A data frame with 30 rows and 4 columns:
Direct Estimation of y
Auxiliary variable of x1
Auxiliary variable of x2
Sampling Variance of y
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