I'd like to carry out a Monte Carlo simulation test where given data is a
contingency table. I think this is something to do with using rmultinonom(),
but I'm not sure how to code this, to simulate contingency tables. Could
anyone please help with how to use R to simulate contingency tables like
t
I thought that quasipoisson family was used to model overdispersion, since
the dispersion parameter isn't fixed at one. Could you please elaborate a
little about why quasipoisson is more suitable for this non-integer poisson
data?
also, is it significant that vcov shows a difference?
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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 does
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