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Exceedance probabilities (i.e. probability that a given model is more frequent in the population than the other models) of a random-effects Bayesian model comparison. Results are shown for the Akaike information criterion (AIC); see text for Bayesian information criterion (BIC). Exceedance probabilities of the winning models are decisive (p > .95). The models are detailed in table 1 and in the supplemental material.
