# getAICc

From igraph v1.0.0
by Gabor Csardi

##### Compute AIC based on a Poisson Approximation using the output from `gclust`

Compute and Extract information Criteria Value from `gclust`

using a Poisson
approximation, where the penality term is adjusted for small sample cases.

##### Usage

`getAICc(gfit)`

##### Arguments

- gfit
- The output from a call to
`gclust.rsvt`

or`gclust.app`

##### Value

nclust Number of clusters being considered negloglikpart Negative log likelihood part parampart Parameter penalty term AIC AIC Value Using a Possion approximation

##### concept

Compute Information Criteria Value Using a Poisson Approximation

##### Examples

```
require(NMF)
require(irlba)
require(igraph)
```

*Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)*

### Community examples

Looks like there are no examples yet.