# logLik-methods

From topicmodels v0.2-4
by Bettina Gruen

##### Methods for Function logLik

Compute the log-likelihood.

- Keywords
- methods

##### Methods

- 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.

*Documentation reproduced from package topicmodels, version 0.2-4, License: GPL-2*

### Community examples

Looks like there are no examples yet.