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This function compares four models for count responses, namely Poisson regression, negative binomial regression, zero-inflated Poisson regression, and zero-inflated negative binomial regression. To do so, it takes a Poisson regression model object (as specified via glm), and the range on the count outcome. This function mimics the countfit function developed in Long and Freese (2006).
For example:
library(catregs) data("LF06art") p1 <- glm(art ~ fem + mar + kid5 + phd + ment , family = "poisson", data = LF06art) table(LF06art$art) fit<-count.fit(p1,0:19) names(fit) #fit$ic #fit$pic #fit$models #fit$models.pic
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