data_fhnorm {hbsaems} | R Documentation |
Simulated Fay-Herriot Normal Data (Area-Level)
Description
The data_fhnorm
dataset contains simulated data for n areas based on a
Fay-Herriot Normal model. It includes area-level covariates, true latent values,
direct estimators, sampling variances, and area random effects. This dataset is
intended for evaluating small area estimation models under normality assumptions.
Usage
data_fhnorm
Format
A data frame with n rows and 8 variables:
- y
Observed direct estimator per area.
- D
Sampling variance for the direct estimator.
- x1, x2, x3
Auxiliary area-level covariates.
- theta_true
True latent mean parameter per area.
- u
Area-level random effect.
- group
Area ID (1–n) specifying the grouping structure.
- sre
Optional grouping factor mapping observations to spatial locations (e.g. regions).
Source
Simulated data based on the Fay-Herriot Normal model.
Examples
data(data_fhnorm)
head(data_fhnorm)
[Package hbsaems version 0.1.1 Index]