Is there a way to get the parameters of the full posterior distribution rather than just the information in the posterior probability map? I've seen some relevant discussion on the list in the context of DCMs, but I'm specifically interested in either a first- or second-level Bayesian analysis.

I'd appreciate any help!

Thanks,

Shabnam