# summary.negbin

From MASS v7.3-19
by Brian Ripley

##### 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.

##### See Also

##### Examples

`summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))`

*Documentation reproduced from package MASS, version 7.3-19, License: GPL-2 | GPL-3*

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