glpModel-class: Class "glpModel" of General Linear Prediction Models
Description
The class "glpModel" conceptually contains a very large class
of “General Linear Prediction Models”.
Its resp slot (of class "respModule") may
model linear, non-linear, generalized linear and non-linear
generalized response models.
Arguments
Objects from the Class
Objects can be created by calls of the form new("glpModel", ...),
but typically rather are returned by our modeling functions, e.g., glm4().
Slots
resp:
a "respModule" object.
pred:
a "predModule" object.
Extends
Class "Model", directly.
Methods
coef
signature(object = "glpModel"): extract the
coefficient vector \(\beta\) from the object.
fitted
signature(object = "glpModel"): fitted values;
there may be several types, corresponding to the residuals, see there
(below).
residuals
signature(object = "glpModel"): residuals,
depending on the type of the model, there are several types of
residuals and correspondingly residuals,
see residuals.glm from the
stats package.
See Also
glm4() returns fitted glpModel objects.
The constituents of this class are
respModule and
predModule, both of which have several sub
classes.