Description Usage Arguments Details Value References Examples

Imported but updated calculations from topicmodels package, as
applied to Latent Dirichlet Allocation fit with Variational Expectation
Maximization via `LDA`

.

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`object` |
A |

`...` |
Not used, simply included to maintain method compatibility. |

The number of degrees of freedom is 1 (for alpha) plus the number of entries in the document-topic matrix. The number of observations is the number of entries in the document-term matrix.

Log likelihood of the model `logLik`

, also with `df`

(degrees of freedom) and `nobs`

(number of observations) values.

Buntine, W. 2002. Variational extensions to EM and multinomial PCA.
*European Conference on Machine Learning, Lecture Notes in Computer
Science* **2430**:23-34. link.

Grun B. and K. Hornik. 2011. topicmodels: An R Package for Fitting Topic
Models. *Journal of Statistical Software* **40**:13.
link.

Hoffman, M. D., D. M. Blei, and F. Bach. 2010. Online learning for
latent Dirichlet allocation. *Advances in Neural Information
Processing Systems* **23**:856-864.
link.

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