dgaModelPost.md
In shinyrecap: 'Shiny' User Interface for Multiple Source Capture Recapture Models

DGA Individual Posteriors

The DGA posterior distribution is composed as the weighted average of the posteriors of a collection of models assuming different types of interactions between the capture events. This table provides summaries for each of the models in the collection.

Interaction: This column describes the form of the dependency between capture events. | indicates a conditional independence and - indicates a dependence. So 1-3|2|4 means that the first and third captures are related, and captures 2 and 4 are independent.
Posterior Probability (%): This is the likelihood that this model dependency is the true one and is the weight that is given to the model when averaging them together.
Expected Pop. Size: This is the model's point estimate for the population size.