QdaRobust-class {rrcov}R Documentation

Class "QdaRobust" is a virtual base class for all robust QDA classes

Description

The class QdaRobust searves as a base class for deriving all other classes representing the results of robust Quadratic Discriminant Analysis methods

Objects from the Class

A virtual Class: No objects may be created from it.

Slots

call:
The (matched) function call.
prior:
Prior probabilities used, default to group proportions
counts:
number of observations in each class
center:
the group means
cov:
the group covariance matrices
covinv:
the inverse of the group covariance matrices
covdet:
the determinants of the group covariance matrices
method:
a character string giving the estimation method used
X:
the training data set (same as the input parameter x of the constructor function)
grp:
grouping variable: a factor specifying the class for each observation.
control:
Object of class "CovControl" specifying which estimate to use for the group means and covariances

Extends

Class "Qda", directly.

Methods

No methods defined with class "QdaRobust" in the signature.

Author(s)

Valentin Todorov valentin.todorov@chello.at

See Also

Qda-class, QdaClassic-class,

Examples

showClass("QdaRobust")

[Package rrcov version 0.5-01 Index]