QdaClassic

QdaClassic.formula

QdaClassic.default

a matrix or data frame containing the explanatory variables (training set).

grouping variable: a factor specifying the class for each observation.

grouping

prior probabilities, default to the class proportions for the training set.

prior

arguments passed to or from other methods.

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Performs quadratic discriminant analysis and returns the results as an object 
 of class <code>QdaClassic</code> (aka constructor).

multivariate

robust

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point:
principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>),
linear and quadratic discriminant analysis (Todorov and Pires (2007)),
multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>),
outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>,
Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

QdaClassic: Quadratic Discriminant Analysis

Description

Usage

Arguments

Value

References

See Also