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