summary.glm, but with three lines of additional output: the
ML estimate of theta, its standard error, and twice the log-likelihood
fitted model object of class
arguments passed to or from other methods.
summary.glm is used to produce the majority of the output and supply the
This function is a method for the generic function
summary() for class
It can be invoked by calling
summary(x) for an
x of the appropriate class, or directly by
summary.negbin(x) regardless of the
class of the object.
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.