summary.glmmNPML {npmlreg} | R Documentation |
These functions are the summary
and print
methods for objects of type
glmmNPML
and glmmGQ
.
## 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), ...)
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. |
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(...)
.
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.
originally from Ross Darnell (2002), modified and prepared for publication by Jochen Einbeck and John Hinde (2007).
alldist
, allvc
, summary
,
print
, family.glmmNPML