Learn R Programming

MASS (version 7.3-58.3)

glm.convert: 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)

Value

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

Arguments

object

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

Details

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

See Also

glm.nb, negative.binomial, glm

Examples

Run this code
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)

Run the code above in your browser using DataLab