Inclusion probability plot vs. BF(inclusion)?
Hello JASP fellows!
I'm building a bunch of linear regression models where the inclusion probabilities show that only some variables exceed the prior inclusion line. But then this doesn't always fit with the BF inclusion. Sometimes the BF inclusion is still smaller than 3, even if they exceed the line or the ones that do not meet the line don't have a BF inclusion <0.3, i.e. supporting exclusion. Which one should I rely on to build a better model in the next step?