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]