Description Usage Arguments Details Value Side Effects References See Also Examples

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.

1 2 |

`object` |
fitted model object of class |

`dispersion` |
as for |

`correlation` |
as for |

`...` |
arguments passed to or from other methods. |

`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.

As for `summary.glm`

; the additional lines of output are not included in
the resultant object.

A summary table is produced as for `summary.glm`

, with the additional
information described above.

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

`summary`

, `glm.nb`

, `negative.binomial`

, `anova.negbin`

1 |

MASS documentation built on April 30, 2018, 9:03 a.m.

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