Bayesian Mixed Models - Prior Specification and Bayes Factors
I have been running Bayesian Logistic Mixed Models for model comparison in R for a current project and was very excited to see these are now implemented in JASP.
- A couple of questions: What are the default priors used here? Are they adjustable in any way (or will they be in due time)
- Since I am wanting to do model comparison I will need to calculate Bayes Factors but that doesn't seem to be an option yet in the current implementation. Will this be possible in the future or …
- I think I read that this is doable with the Bayesian Anova implementation (hypothetically, if this was linear rather than generalised), but there doesn't seem to be a way to specify things like random slopes for specific factors.
Thanks, JASP's development is looking very cool!