The functions provides a detailed description of the specified model and priors.
In addition, the function provides information about the Markov chain ran (length, burn-in, thinning) and the
folder where the files with posterior samples are stored. Lastly, the function provides the mean
posterior and null deviance and the mean/variance models visited most often during posterior sampling.