My own use of the data container strongly depends on the model, the data, and the overall scenario. For simple models/data set-ups and/or when I am generating posterior predictions for quick diagnostic purposes, I often just plug samples into a “new” instantiation of the model. But as things get more complex, the data container starts to be much more convenient because you can re-use the model you already implemented.
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