In this article we describe eDNAoccupancy,an R package for fitting Bayesian, multi-scale occupancy models. These models are appropriate for occupancy surveys that include three, and nested levels of sampling: primary sample units within a study area,secondary sample units collected from each primary unit, and replicates of each secondary sample unit. This design is commonly used in occupancy surveys of environmental DNA (eDNA). eDNAoccupancy allows users to specify and fit multi-scale occupancy models with or without covariates, or to estimate posterior summaries of occurrence and detection probabilities,and to compare different models using Bayesian model-choice criteria. We illustrate these features by analyzing two published data sets: eDNA surveys of a fungal pathogen of amphibians and eDNA surveys of an endangered fish species.
Source: usgs.gov