family.glmmNPML: Methods for objects of class glmmNPML or glmmGQ

In npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models

Description

Methods for the generic family and model.matrix functions

Usage

## S3 method for class 'glmmNPML'
family(object, ...)
## S3 method for class 'glmmGQ'
family(object, ...)
## S3 method for class 'glmmNPML'
model.matrix(object, ...)
## S3 method for class 'glmmGQ'
model.matrix(object, ...)

Arguments

object	object of class glmmNPML or glmmGQ.
...	further arguments, ensuring compability with generic functions.

Note

The generic R functions update(), coefficients(), coef(), fitted(), fitted.values(), and df.residual() can also be applied straightforwardly on all objects of class glmmNPML or glmmGQ. They are not listed above as they use the generic default functions and are not separately implemented.

Explicit implementations exist for predict, summary, print, and plot, and these functions are explained in the corresponding help files.

Author(s)

Jochen Einbeck and John Hinde (2007)

See Also

summary.glmmNPML, predict.glmmNPML, family, model.matrix, update, coefficients, alldist.

npmlreg documentation built on May 2, 2019, 9:31 a.m.