Dear R users,

I'm trying to fit count data with a negative binomial model unsing
glm.nb. I have two factors with 3 levels each, which I fit with an
interaction in my model.
I would like to get the estimated mean and standard error for each of
the 9 interactions, I calculated those with the variance-covariance
matrix, but it's a bit tedious. Is there a way to get them directly in
R?

Thank you very much in advance,

Best regards,

Nicolas




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