# Bayesian model checking via posterior predictive simulations (Bayesian p-values) with the DHARMa package

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As I said before, I’m firmly siding with Andrew Gelman (see e.g. here) in that model checking is dangerously neglected in Bayesian practice. The philosophical criticism against “rejecting” models (double-using data etc. etc.) is all well, but when using Bayesian methods in practice, I see few sensible alternatives to residual checks (both guessing a model and…
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