summary.negbin
From MASS v7.3-35
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 fromglm
andlm
. Typically the output ofglm.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))
Community examples
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