rrcov (version 1.5-5)

QdaRobust-class: 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.

References

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1--47. URL http://www.jstatsoft.org/v32/i03/.

See Also

Qda-class, QdaClassic-class,

Examples

# NOT RUN {
showClass("QdaRobust")
# }