# CTM

From topicmodels v0.2-8
by Bettina Gruen

##### Correlated Topic Model

Estimate a CTM model using for example the VEM algorithm.

- Keywords
- models

##### Usage

`CTM(x, k, method = "VEM", control = NULL, model = NULL, ...)`

##### Arguments

- x
Object of class

`"DocumentTermMatrix"`

with term-frequency weighting or an object coercible to a`"simple_triplet_matrix"`

with integer entries.- k
Integer; number of topics.

- method
The method to be used for fitting; currently only

`method = "VEM"`

is supported.- control
A named list of the control parameters for estimation or an object of class

`"CTM_VEMcontrol"`

.- model
Object of class

`"CTM"`

for initialization.- …
Currently not used.

##### Details

The C code for CTM from David M. Blei and co-authors is used to estimate and fit a correlated topic model.

##### Value

##### References

Blei D.M., Lafferty J.D. (2007).
A Correlated Topic Model of Science.
*The Annals of Applied Statistics*, **1**(1), 17--35.

##### See Also

##### Examples

```
# NOT RUN {
data("AssociatedPress", package = "topicmodels")
ctm <- CTM(AssociatedPress[1:20,], k = 2)
# }
```

*Documentation reproduced from package topicmodels, version 0.2-8, License: GPL-2*

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