Description Objects from the Class Slots Extends Methods Author(s) References See Also Examples

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

Class `"QdaRobust"`

, directly.
Class `"Qda"`

, by class "QdaRobust", distance 2.

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

Valentin Todorov [email protected]

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/.

`QdaRobust-class`

, `Qda-class`

, `QdaClassic`

, `QdaClassic-class`

1 | ```
showClass("QdaCov")
``` |

rrcov documentation built on May 30, 2017, 3:23 a.m.

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