R help - Aug 2010 - AIC for model selection in Package ‘MuMIn’

Dear List,

Ben's recommendation to MuMIn is of great importance to research with over
ten independent variables.

However, the criteria in this package for model selection are AICc
(second-order AIC) and QAIC (quasi-AIC).
Please kindly share if it is possible to carry AIC rather than the metrics
above using this package.
Thank you.

Elaine

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elaine kuo <elaine.kuo.tw <at> gmail.com> writes:

[re: MuMIn package]
> However, the criteria in this package for model selection are AICc
> (second-order AIC) and QAIC (quasi-AIC).
> Please kindly share if it is possible to carry AIC rather than the metrics
> above using this package.
> Thank you.
  I think you're misunderstanding the documentation.  The reason
that AICc and QAIC are explicitly included in the package, and the
package documentation, is that (unlike AIC and BIC) they are *not*
implemented in base R.  If you simply use dredge(...,rank="AIC")
that should work.

  good luck.