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See Also
AIC
Examples
library(statmod) # Needed to use tweedie family object
### Generate some fictitious data
test.data <- rgamma(n=200, scale=1, shape=1)
### Fit a Tweedie glm and find the AIC
m1 <- glm( test.data~1, family=tweedie(link.power=0, var.power=2) )
### A Tweedie glm with p=2 is equivalent to a gamma glm:
m2 <- glm( test.data~1, family=Gamma(link=log))
### The models are equivalent, so the AIC shoud be the same:
AICtweedie(m1)
AIC(m2)