The class QdaRobust
searves as a base class for deriving all other
classes representing the results of robust Quadratic 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 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
Class "Qda"
, directly.
No methods defined with class "QdaRobust" 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. tools:::Rd_expr_doi("10.18637/jss.v032.i03").
Qda-class
, QdaClassic-class
,