Change a Negative Binomial fit to a GLM fit

DESCRIPTION:

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.

USAGE:

glm.convert(object)

REQUIRED ARGUMENTS:

object
An object of class "negbin", typically the output from glm.nb().

VALUE:

An object of class "glm" with negative binomial family. The theta parameter is then fixed at its present estimate.

DETAILS:

Convenience function needed to effect some low level changes to the structure of the fitted model object.

SEE ALSO:

, ,

EXAMPLES:

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)