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

    ## S3 method for class '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

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

### Examples

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

[Package MASS version 7.3-22 Index]