How to calculate Akaike Information Criterion (AIC) for non-linear growth model

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Faye Anderson

In order to assess goodness of fit for a non-linear model, you can:

1) plot raw data against fitted one and compare

2) use S measure

3) AIC

4) BIC

R^2 is suitable for linear model.

Salvatore S. Mangiafico

AIC, BIC, and some pseudo r-square measures are based on the log likelihood and the number of terms and observations in the model. If you are able to extract the log likelihood from a model, these statistics can be calculated.

Sometimes AIC etc. are expressed in terms of deviance instead of log likelihood.