PoissonRatioUQ: An R package for band ratio uncertainty quantification

TL;DR

This paper presents PoissonRatioUQ, an R package designed for Bayesian uncertainty quantification of count ratios, especially focusing on Poisson mean ratios with spatial and functional extensions.

Contribution

The package offers multiple methods for estimating Poisson mean ratios and includes capabilities for uncertainty quantification in spatial and functional contexts.

Findings

Provides flexible Bayesian tools for count ratio analysis.

Includes spatial and functional uncertainty quantification features.

Enhances analysis of intensity ratios in count data.

Abstract

We introduce an R package for Bayesian modeling and uncertainty quantification for problems involving count ratios. The modeling relies on the assumption that the quantity of interest is the ratio of Poisson means rather than the ratio of counts. We provide multiple different options for retrieval of this quantity for problems with and without spatial information included. Some added capability for uncertainty quantification for problems of the form $Z=(mT+z_0)^{p}$, where $Z$ is the intensity ratio and $T$ the quantity of interest, is included.