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 class 'negbin' anova(object, ..., test = "Chisq")
Arguments
object | Fitted model object of class |
... | Zero or more additional fitted model objects of class |
test | Argument to match the |
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.
Note
If only one fitted model object is specified, a sequential analysis of deviance table is given for the fitted model. The theta
parameter is kept fixed. If more than one fitted model object is specified they must all be of class "negbin"
and likelihood ratio tests are done of each model within the next. In this case theta
is assumed to have been re-estimated for each model.
References
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
glm.nb
, negative.binomial
, summary.negbin
Examples
m1 <- glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log) m2 <- update(m1, . ~ . - Eth:Age:Lrn:Sex) anova(m2, m1) anova(m2)
Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.