data_betalogitnorm: Simulation Data for Beta Logit Normal Model

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

Simulation Data for Beta Logit Normal Model

Description

The data_betalogitnorm is a simulation data created specifically to demonstrate the implementation of Hierarchical Bayesian Small Area Estimation (HB SAE) with Beta distribution. This data is suitable for testing Beta regression models with a hierarchical structure between areas. This data is also equipped with variables that apply spatial effects.

Usage

data_betalogitnorm

Format

A data frame with 100 rows and 9 variables:

y

Response variable - The proportion of simulation results, has a value between 0 and 1, follows a Beta distribution.

theta

True latent mean parameter on the logit scale, representing the underlying probability of success in each area.

x1, x2, x3

Predictors Variables

n

The number of sample units for each region used in the survey

deff

Design Effect

group

Area ID (1–100) Random effects formula specifying the grouping structure in the data.

sre

An optional grouping factor mapping observations to spatial locations.

Source

Simulated data based on a Beta-Logit-Normal model.

Examples

data(data_betalogitnorm)
head(data_betalogitnorm)

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