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
Using the nls function I fit the following model (and some others) to my data.
mod1=nls(CLr ~ A-(A-CLi)*exp(-k*d), start = list(A=60,k=0.005))
I would like to rank a set of models using AIC.
I calculated AIC as
AIC(mod1)
However, it appears to use an incorrect number of parameters (3
instead of
John:
1. As always, and as requested (see posting guide), a small
reproducible example might help.
2. What is CLi in your model?
3. In general, AIC may not be particularly meaningful as a measure of
fit quality penalized for model complexity in NON-linear models unless
the different models are
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