LdaRobust-class | R Documentation |
The class LdaRobust
searves as a base class for deriving all other
classes representing the results of the robust Linear Discriminant Analysis methods
A virtual Class: No objects may be created from it.
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.
Class "Lda"
, directly.
No methods defined with class "LdaRobust" in the signature.
Valentin Todorov valentin.todorov@chello.at
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v032.i03")}.
Lda-class
, LdaClassic-class
,
showClass("LdaRobust")
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