[R] AIC using nls function

Ben Bolker bbolker at gmail.com
Sat Aug 28 21:52:23 CEST 2010

Bert Gunter <gunter.berton <at> gene.com> writes:

> John:
> 1. As always, and as requested (see posting guide), a small
> reproducible example might help.

  Bert is right that things aren't well defined.  However, AIC
is still *widely* used for nonlinear models.  For the sloppy
folks among us, here are some useful (?) pieces of information:

 1. nls counts the variance of the residual error as a parameter

 2. As long as you compute AIC *within the same framework* (e.g.
comparing nls fits to each other, or glm fits, or nlme fits ...)
these decisions are generally made consistently.  Comparing across
model types requires attention to detail to make sure that parameters
are counted using similar rules, and that additive constants are
consistently included or not.

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