8  Monty

Before showing how to fit odin models to data, we’ll focus for a bit on monty itself. If you are anxious to get on and fit the model from Section 6.4, you might skip ahead to Chapter 9, where we resume this.

There are a bunch of things we want to cover in this chapter so likely it will be split into a few:

• defining a model in monty, both easily with monty_function and less easily with monty_model
• fitting models with MCMC
• writing priors with the monty_dsl
• using observers to follow along with the model (if we can come up with a good example)
• working with nested models (once we write the code that would allow this)
• running MCMC chains in parallel
• exporting chains to work with other packages
• different samplers

Hmm, there really is quite a bit of ground to cover here!