data_fhnorm: Simulated Fay-Herriot Normal Data (Area-Level)

In hbsaems: Hierarchical Bayes Small Area Estimation Model using 'Stan'

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)

hbsaems documentation built on Aug. 8, 2025, 7:28 p.m.