Change a Negative Binomial fit to a GLM fit
This function modifies an output object from glm.nb()
to one
that looks like the output from glm()
with a negative binomial
family. This allows it to be updated keeping the theta parameter
fixed.
glm.convert(object)
object |
An object of class |
Convenience function needed to effect some low level changes to the structure of the fitted model object.
An object of class "glm"
with negative binomial family. The theta
parameter is then fixed at its present estimate.
quine.nb1 <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), data = quine) quine.nbA <- glm.convert(quine.nb1) quine.nbB <- update(quine.nb1, . ~ . + Sex:Age:Lrn) anova(quine.nbA, quine.nbB)
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