Class "QdaCov" - Robust methods for Quadratic Discriminant Analysis

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Description

Robust quadratic discriminant analysis is performed by replacing the classical group means and withing group covariance matrices by their robust equivalents.

Objects from the Class

Objects can be created by calls of the form new("QdaCov", ...) but the usual way of creating QdaCov objects is a call to the function QdaCov which serves as a constructor.

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 "QdaRobust", directly. Class "Qda", by class "QdaRobust", distance 2.

Methods

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

Author(s)

Valentin Todorov valentin.todorov@chello.at

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

QdaRobust-class, Qda-class, QdaClassic, QdaClassic-class

Examples

1
showClass("QdaCov")

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