# summary.negbin

0th

Percentile

##### Summary Method Function for Objects of Class 'negbin'

Identical to summary.glm, but with three lines of additional output: the ML estimate of theta, its standard error, and twice the log-likelihood function.

Keywords
models
##### Usage
## S3 method for class 'negbin':
summary(object, dispersion = 1, correlation = FALSE, \dots)
##### Arguments
object
fitted model object of class negbin inheriting from glm and lm. Typically the output of glm.nb.
dispersion
as for summary.glm, with a default of 1.
correlation
as for summary.glm.
...
arguments passed to or from other methods.
##### Details

summary.glm is used to produce the majority of the output and supply the result. This function is a method for the generic function summary() for class "negbin". It can be invoked by calling summary(x) for an object x of the appropriate class, or directly by calling summary.negbin(x) regardless of the class of the object.

##### Value

• As for summary.glm; the additional lines of output are not included in the resultant object.

##### Side Effects

A summary table is produced as for summary.glm, with the additional information described above.

##### References

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

summary, glm.nb, negative.binomial, anova.negbin
summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))