Posterior Predictive Check
A posterior predictive check is a plot of measurements of the dependent variable against predictions.
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Description
Model predictions should follow a similar distribution to the actual measurements of the dependent variable. This can be checked using overlaid density plots or histograms.
These plots are most common in Bayesian workflows but can be useful in any modeling context.