anova.negbin: Likelihood Ratio Tests for Negative Binomial GLMs

Description

Method function to perform sequential likelihood ratio tests for Negative
Binomial generalized linear models.

Usage

# S3 method for negbin
anova(object, …, test = "Chisq")

Arguments

object

Fitted model object of class "negbin", inheriting from
classes "glm" and "lm", specifying a Negative Binomial
fitted GLM. Typically the output of glm.nb().

…

Zero or more additional fitted model objects of class "negbin". They
should form a nested sequence of models, but need not be specified in any
particular order.

test

Argument to match the test argument of anova.glm.
Ignored (with a warning if changed) if a sequence of two or more
Negative Binomial fitted model objects is specified, but possibly
used if only one object is specified.

Details

This function is a method for the generic function
anova() for class "negbin".
It can be invoked by calling anova(x) for an
object x of the appropriate class, or directly by
calling anova.negbin(x) regardless of the
class of the object.

References

Venables, W. N. and Ripley, B. D. (2002)
Modern Applied Statistics with S. Fourth edition. Springer.