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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.
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How many observations do you need within each level of a random factor to fit a random effect?
you can include the sites with only two counts in your analysis.
One way is to create a multi-level model, assign prior distributions to all the observables and then use the data to update to the pos …