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]