summary.negbin             package:MASS             R Documentation

Summary Method Function for Objects of Class 'negbin'

Description:

     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.

Usage:

     ## S3 method for class 'negbin':
     summary(object, dispersion = 1, correlation = FALSE, ...)

Arguments:

  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'. 

     ...: 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:

     'summary', 'glm.nb', 'negative.binomial', 'anova.negbin'

Examples:

     summary(glm.nb(Days ~ Eth*Age*Lrn*Sex, quine, link = log))

