# PoissonRatioUQ: An R package for band ratio uncertainty quantification

arXiv: https://arxiv.org/abs/2602.07165 · HTML: https://mlsanity.com/paper/2602.07165/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Feb 2026.

## Built on by (most cited first, 1 of 1)

- [An RKHS Framework for Fixed Effects in Permanental Process Models](https://mlsanity.com/paper/2608.17908/) (2026)

## Abstract (arXiv)

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+z0)p, where Z is the intensity ratio and T the quantity of interest, is included.