I have run a Turing fitting session, and look at the results (estimates? chain?):
Is it possible to extract the tables, e.g., Summary Statistics and Quantiles in DataFrames so that I can PrettyTables them and convert them to LaTeX?
Neat. I found out that I can also use
describe(p_est), leading to two element vector where
summarize(p_est) = describe(p_est), while element 2 contains the quantiles.
One more thing… (as they say):
p_est contain the prior distributions that were defined in the model, or would I need to take them out of the Turing
model? [I’d like to compare the densities of the priors and the posteriors…]
Assuming p_est is a Chains object from a call to sample, it just contains posterior information. You can call sample in a way to get samples from the prior, have a look at the docs. Then you could compare say marginal densities using a KDE