| glpModel-class {MatrixModels} | R Documentation |
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.
Objects can be created by calls of the form new("glpModel", ...),
but typically rather are returned by our modeling functions, e.g., the
(experimental, hence currently hidden) glm4().
resp:a "respModule" object.
pred:a "predModule" object.
Class "Model", directly.
signature(object = "glpModel"): extract the
coefficient vector β from the object.
signature(object = "glpModel"): fitted values;
there may be several types, corresponding to the residuals, see there
(below).
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.
glm4() returns fitted glpModel objects.
The constituents of this class are
respModule and
predModule, both of which have several sub
classes.
showClass("glpModel")
## Use example(glm4) or see help(glm4) for many more examples.