data_fhnorm

The <code>data_fhnorm</code> 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.

datasets

Implementing Hierarchical Bayesian Small Area Estimation
models using the 'brms' package as the computational backend. The
modeling framework follows the methodological foundations described in area-level
models. This package is designed to facilitate a principled Bayesian workflow,
enabling users to conduct prior predictive checks, model fitting, posterior
predictive checks, model comparison, and sensitivity analysis in a coherent and
reproducible manner. It supports flexible model specifications via 'brms' and
promotes transparency in model development, aligned with the recommendations of
modern Bayesian data analysis practices, implementing methods described in
Rao and Molina (2015) <doi:10.1002/9781118735855>.

Achmad Syahrul Choir

hbsaems

Hierarchical Bayes Small Area Estimation Model using 'Stan'

Saniyyah Sri Nurhayati

Sofi Zamzanah

Arsyka Laila Oktalia Siregar

data_fhnorm function

A data frame with n rows and 8 variables:<dl>
<dt>y</dt>
<dd>Observed direct estimator per area.</dd><dt>D</dt>
<dd>Sampling variance for the direct estimator.</dd><dt>x1, x2, x3</dt>
<dd>Auxiliary area-level covariates.</dd><dt>theta_true</dt>
<dd>True latent mean parameter per area.</dd><dt>u</dt>
<dd>Area-level random effect.</dd><dt>group</dt>
<dd>Area ID (1–n) specifying the grouping structure.</dd><dt>sre</dt>
<dd>Optional grouping factor mapping observations to spatial locations (e.g. regions).</dd>
</dl>

Format

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

A data frame with n rows and 8 variables:<dl>
<dt>y</dt>
<dd>Observed direct estimator per area.</dd>

<dt>D</dt>
<dd>Sampling variance for the direct estimator.</dd>

<dt>x1, x2, x3</dt>
<dd>Auxiliary area-level covariates.</dd>

<dt>theta_true</dt>
<dd>True latent mean parameter per area.</dd>

<dt>u</dt>
<dd>Area-level random effect.</dd>

<dt>group</dt>
<dd>Area ID (1–n) specifying the grouping structure.</dd>

<dt>sre</dt>
<dd>Optional grouping factor mapping observations to spatial locations (e.g. regions).</dd>


</dl>

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

Description

Usage

Arguments

Format

Examples