summary.negbin {MASS} | R Documentation

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

### Description

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.

### Usage

    summary(object, dispersion=1, correlation=TRUE, ...)

### 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`.

### 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.

### See Also

`summary`, `glm.nb`, `negative.binomial`, `anova.negbin`