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, [EMAIL PROTECTED] 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) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
