| summary.negbin {MASS} | R Documentation |
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.
## S3 method for class 'negbin' summary(object, dispersion = 1, correlation = FALSE, ...)
object |
fitted model object of class |
dispersion |
as for |
correlation |
as for |
... |
arguments passed to or from other methods. |
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.
As for 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.
summary, glm.nb, negative.binomial, anova.negbin
summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))