Effect sizes & model averaged R-squared calculation for Bayesian RM Anova
I'm looking to compare bayesian and frequentist outcomes for a 2 way mixed anova but I'm struggling to compare effect sizes between the two frameworks.
I'm aware from reading a previous discussion that JASP does not yet calculate effect sizes for bayesian RM anova and that the closest equivalent is the model averaged R-squared. But is there any way to calculate individual R-squared for the interaction term/ individual predictors? Or alternatively is there any frequentist equivalent to the model averaged R-squared produced by JASP?
Any advice on interpreting the model averaged R-squared or how JASP calculates it would be appreciated!