# BDSAR: a new package on Bregman divergence for Bayesian simultaneous autoregressive models

## TL;DR

BDSAR is an R package that uses Bregman divergence to analyze and diagnose Bayesian SAR spatial models, providing intuitive visualization tools for model comparison and influential data points.

## Contribution

The paper introduces BDSAR, a novel R package that applies Bregman divergence for Bayesian SAR model diagnostics and visualization, enhancing model comparison and data influence analysis.

## Key findings

- Provides a new plot for model comparison
- Facilitates analysis of influential observations
- Enhances diagnostic capabilities for Bayesian SAR models

## Abstract

BDSAR is an R package which estimates distances between probability distributions and facilitates a dynamic and powerful analysis of diagnostics for Bayesian models from the class of Simultaneous Autoregressive (SAR) spatial models. The package offers a new and fine plot to compare models as well as it works in an intuitive way to allow any analyst to easily build fine plots. These are helpful to promote insights about influential observations in the data.