Robust quadratic discriminant analysis is performed by replacing the classical group means and withing group covariance matrices by their robust equivalents.
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.
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
No methods defined with class "QdaCov" in the signature.
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/.
# NOT RUN {
showClass("QdaCov")
# }
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