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6.5. USING AIC 203helps guard against overconfidence in model structure, in the same way that usingthe entire posterior density helps guard against overconfidence in parameter values.e section demonstrates how to conduct comparison and averaging, using a simple examplewith a few predictor variables. Later chapters continue using these tools, and the details ofexamples do vary. So be wary not to overgeneralize the example that follows.6.5.1. Model comparison. Recall the primate milk data from the previous chapter. Let’sload it into R, remove the NAs, and rescale one of the explanatory variables:data(milk)d

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