Sensitivity analysis is a powerful tool for understanding relationships in dynamic occupancy models. This page provides links to a flexible set of statistical functions for implementing sensitivity analyses.

Martin et al. (2009) were the first to demonstrate approaches for dynamic occupancy models. I extended this to develop a more general approach to analyses that also deal with additional occupancy states, environmental covariates, and temporal and spatial variation, and derived parameters (Miller 2012). A user's guide and code to implement the analyses are hosted in the ESA Ecological Archives. This includes a guide to concepts and step-by-step implementation and R code and functions to implement the analyses.