Displaying 1 result from an estimated 1 matches for "lfap200".
2010 Jun 02
1
Problems using gamlss to model zero-inflated and overdispersed count data: "the global deviance is increasing"
...[1] 0.1153846
> mean
[1] 1.906593
> var
[1] 37.35587
(I have no idea how to simulate a zero-inflated overdispersed Poisson variable, but the data used can be found at http://www.ua.ac.be/main.aspx?c=diederik.strubbe&n=23519).
First, I create a (strong) pattern in the dataset by:
data$LFAP200 <- data$LFAP200 + (data$duck*data$duck)
I try to analyze these data by fitting several possible distributions (Poisson PO, zero-inflated Poisson ZIP, negative binomial type I and type II NBI NBII and zero-inflated negative binomial ZINBI) while using cubic splines with a df=3. The best fitting...