Default P(incl) values in JASP's Bayesian ANOVA
Why does JASP use 0.6 as the default value for P(incl) of main effects and 0.2 as the value for interaction effects?
How can that be changed/controlled?
(This is the same example as in the mixed factor Bayesian Anova example in Bayesian Inference in JASP: A Guide for Students.)
Comments
"[The] prior inclusion probability is the probability that a predictor is included in the model before seeing the data and is computed by summing up the prior model probabilities of all models which contain that predictor." - Source