spatial_weight_sar

<p>The <code>spatial_weight_sar</code> dataset contains a standardized spatial weight matrix designed
for use in <em>Hierarchical Bayesian Small Area Estimation</em> (HB SAE) under the
Simultaneous Autoregressive (SAR) model.
The matrix represents spatial influence between areas with continuous, non-negative weights,
and is symmetric with zeros on the diagonal.
This structure allows modeling of spatial autocorrelation with varying intensity across regions.</p>

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

spatial_weight_sar function

Format

Spatial Weight for Simultaneous Autoregressive (SAR) — spatial_weight_sar

Spatial Weight for Simultaneous Autoregressive (SAR)

spatial_weight_sar: Spatial Weight for Simultaneous Autoregressive (SAR)

Description

Usage

Arguments

Format