QdaRobust-class: Class "QdaRobust" is a virtual base class for all robust QDA...

In armstrtw/rrcov: Scalable Robust Estimators with High Breakdown Point

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 [e-mail]

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

showClass("QdaRobust")

armstrtw/rrcov documentation built on May 10, 2019, 1:43 p.m.