However, having the posterior distribution, any so desired probability statement on the values of δ can be made, for instance, P ( δ ∈ROPE| y ), P ( δ > 0| y ), or P ( δ > practically significant effect| y ).
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With Bayesian estimation one can get all that Bayes factors offer, and more.
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