summary.glmmNPML {npmlreg}R Documentation

Summarizing finite mixture regression fits

Description

These functions are the summary and print methods for objects of type glmmNPML and glmmGQ.

Usage

## S3 method for class 'glmmNPML':
summary(object, digits = max(3, getOption("digits") - 3), ...)
## S3 method for class 'glmmGQ':
summary(object, digits = max(3, getOption("digits") - 3), ...)
## S3 method for class 'glmmNPML':
print(x, digits=max(3,getOption('digits')-3), ...)
## S3 method for class 'glmmGQ':
print(x, digits=max(3,getOption('digits')-3),  ...)

Arguments

object a fitted object of class glmmNPML or glmmGQ.
x a fitted object of class glmmNPML or glmmGQ.
digits number of digits; applied on various displayed quantities.
... further arguments, which will mostly be ignored.

Details

The summary...- and print... -functions invoke the generic UseMethod(...) function and detect the right model class automatically. In other words, it is enough to write summary(...) or print(...).

Value

Prints regression output or summary on screen.
Objects returned by summary.glmmNPML or summary.glmmGQ are essentially identical to objects of class glmmNPML or glmmGQ. However, their $coef component contains the parameter standard errors and t values (taken from the GLM fitted in the last EM iteration), and they have two additional components $dispersion and $lastglmsumm providing the estimated dispersion parameter and a summary of the glm fitted in the last EM iteration.

Author(s)

originally from Ross Darnell (2002), modified and prepared for publication by Jochen Einbeck and John Hinde (2007).

See Also

alldist, allvc, summary, print, family.glmmNPML


[Package npmlreg version 0.43 Index]