glm.convert

0th

Percentile

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.

Keywords
models, regression
Usage
glm.convert(object)
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.

Value

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

See Also

glm.nb, negative.binomial, glm

Aliases
  • glm.convert
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)
Documentation reproduced from package MASS, version 7.3-38, License: GPL-2 | GPL-3

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