Mark-recapture models are a useful framework to test hypotheses about what drives differences in wildlife survival and detection probability. However, it is important to assess the goodness-of-fit (GOF) for these models before we make inferences.
What causes lack of fit?
In this tutorial, I deal with overdispersion by:
1. Calculating the variance inflation factor ("c-hat").
2. Adjusting model selection when there is evidence of overdispersion.
The code from this tutorial is available on my GitHub page for mark-recapture workshops.
Let's get started!