model_likelihood: Computes the likelihood of a model from samples from its posterior distribution.
Description
The likelihood of a graph can be computed by integrating over all the graph parameters (with appropriate priors).
Doing this by sampling from priors is very inefficient, so we use samples from the posteriors to importance
sample the likelihood.
Usage
model_likelihood(log_likelihoods)
Arguments
log_likelihoods
Samples of log likelihoods from the posterior distribution of the graph.
Value
The likelihood of a graph where graph parameters are integrated out.