They use AIC as defined by its author, Akaike. With good reason: `sample
size' is not a well-defined concept in general, and the R functions are
general.
Most people call the adjusted (I hesitate to call it `corrected') version
`AICC'. I believe the `clarified' 2002 edition of Burnham &
Anderson uses
AIC_c.
(It's easy to set up problems, e.g, a binomial glm, in which the number of
observations relevant to each parameter differs radically. They occur in
real life too.)
On Tue, 4 Mar 2003, Martin Henry H. Stevens wrote:
> Do any R functions incorporate a sample sample size correction (e.g.,
> Burnham and Anderson 1998).
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
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