Displaying 2 results from an estimated 2 matches for "qd93".
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d93
2003 Jan 16
3
Overdispersed poisson - negative observation
...<- factor(c(1,2,3,4,5,6,7,8,9,10,
1,2,3,4,5,6,7,8,9,
1,2,3,4,5,6,7,8,
1,2,3,4,5,6,7,
1,2,3,4,5,6,
1,2,3,4,5,
1,2,3,4,
1,2,3,
1,2,
1))
d.AD <- data.frame(paym, alpha, beta)
glm.qD93 <- glm(paym ~ alpha + beta, family=quasipoisson())
glm.qD93
************ Code end ***************
2009 Jan 20
1
Poisson GLM
This is a basics beginner question.
I attempted fitting a a Poisson GLM to data that is non-integer ( I believe
Poisson is suitable in this case, because it is modelling counts of
infections, but the data collected are all non-negative numbers with 2
decimal places).
My question is, since R doesn't return an error with this glm fitting, is it
important that the data is non-integer. How does