Open TroyGustke opened 2 years ago
@TroyGustke On this page: https://python.arviz.org/en/latest/user_guide/plots_arguments_guide.html I see this: mu = ("mu", "var") samples = np.random.normal(0, 1, 100) data = az.dict_to_dataset({mu: samples}) az.plot_posterior(data);
So if you look at the structure of “samples” here, it looks like you can use the arviz dict_to_dataset create an arviz dataset.
Put investigating this on your to-do list as low priority.
https://python.arviz.org/en/latest/index.html