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Split a combined model

Source: R/combine.R
monty_model_split.Rd

Split a model that has been combined by monty_model_combine() into its constituent parts.

Usage

monty_model_split(model, prior_first = FALSE)

Arguments

model

A combined model

prior_first

Logical, indicating that we should require that the model component that could be the prior is listed first. If TRUE and one component model is not plausibly the prior, we will error. See Details for the heuristic used.

Value

An unnamed list of length 2, being the component models. If one model might be the prior it will be listed first.

Details

We assume that a split model can be broken into a "prior" and a "likelihood" if exactly one model:

  • can be directly sampled from

  • is not stochastic

  • consumes all parameters

Typically, it will be the first criterion that will separate a model into prior and likelihood (if you could sample from your likelihood, then you would not use a sampler, which is where we are typically going to perform this action).

If prior_first is FALSE we just return the parts.