LdaRobust-class {rrcov}R Documentation

Class "LdaRobust" is a virtual base class for all robust LDA classes

Description

The class LdaRobust searves as a base class for deriving all other classes representing the results of the robust Linear 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 common covariance matrix
ldf:
a matrix containing the linear discriminant functions
ldfconst:
a vector containing the constants of each linear discriminant function
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.

Extends

Class "Lda", directly.

Methods

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

Author(s)

Valentin Todorov valentin.todorov@chello.at

See Also

Lda-class, LdaClassic-class,

Examples

showClass("LdaRobust")

[Package rrcov version 0.5-01 Index]