Compute the log-likelihood.

- object = TopicModel:
Compute the log-likelihood of a

`"TopicModel"`

object. For`"VEM"`

objects the sum of the log-likelihood of all documents given the parameters for the topic distribution and for the word distribution of each topic is approximated using the variational parameters and underestimates the log-likelihood by the Kullback-Leibler divergence between the variational posterior probability and the true posterior probability.- object = Gibbs_list:
Compute the log-likelihoods of the

`"TopicModel"`

objects contained in the`"Gibbs_list"`

object.

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