How to interpret the post-hoc tests of Bayesian ANOVA?
I am struggling with the interpretation of the post-hoc tests in the Bayesian ANOVA.
Do the posterior odds tell me the strength/likelihood of the effect being present with larger posterior odds indicating a stronger effect? Or is this what the BF01,U column is for?
Or do the posterior odds just tell me how much has been learnt from my data in comparison to the prior?