| 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.
summary.negbin(object, dispersion=1, correlation=TRUE) summary(object, dispersion=1, correlation=TRUE)
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.
|
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.
summary, glm.nb, negative.binomial, anova.negbin