# CTM

From topicmodels v0.2-4
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

`CTM()`

returns an object of class
`"CTM"`

.
##### 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

`"CTM_VEMcontrol"`

##### Examples

```
data("AssociatedPress", package = "topicmodels")
ctm <- CTM(AssociatedPress[1:20,], k = 2)
```

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

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