Goodness-of-fit tests for mark-recapture models in R

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?

• assumption violations (more on that below!),
• model misspecification (e.g. missing important variables), or
• unmodelled heterogeneity (e.g. some ‘trap happy’ or ‘trap-shy’ animals)

In this tutorial, I cover testing assumptions of the Cormack-Jolly-Seber model using `R2ucare`.

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