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.

翻译：本文介绍一个用于计数比问题的贝叶斯建模与不确定性量化的R软件包。该建模基于以下假设：目标量是泊松均值之比而非计数之比。针对包含或不包含空间信息的问题，我们提供了多种不同的目标量反演方法。此外，该软件包还扩展了$Z=(mT+z_0)^{p}$形式问题的不确定性量化功能，其中$Z$表示强度比，$T$表示目标量。