# summary.negbin

##### 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 negbin
summary(object, dispersion = 1, correlation = FALSE, …)
```

##### 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.

##### See Also

##### Examples

```
# NOT RUN {
summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))
# }
```

*Documentation reproduced from package MASS, version 7.3-51.5, License: GPL-2 | GPL-3*