Description Usage Arguments Details Value Author(s) References

The AICc, or Akaike Information Criterion with small sample correction, is computed for a VGAM model.

1 | ```
AICc.vgam(mod)
``` |

`mod` |
A VGAM model object |

See references. Burnham and Anderson (2002). This correction to the AIC is derived under some assumption of normality, so it's validity may depend on there being large counts for each capture pattern so that the multivariate normal approximation to the multinomial is good.

The AIC methods for VGAM purport to have the AICc option for the
`vglm`

, but this did not seem to exist for the `vgam`

as of
October 2013.

`AICc` |
The value of the AICc |

Zach Kurtz

http://stats.stackexchange.com/questions/69723/two-different-formulas-for-aicc

lllcrc documentation built on May 30, 2017, 7:10 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.