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

QdaClassic

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) <urn:isbn:978-3838108148>,
Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

Valentin Todorov

rrcov

Scalable Robust Estimators with High Breakdown Point

QdaClassic function

Quadratic Discriminant Analysis — QdaClassic

<dl>

 <dt>x</dt>
<dd>a matrix or data frame containing the explanatory variables (training set).</dd>

 <dt>grouping</dt>
<dd>grouping variable: a factor specifying the class for each observation.</dd>

 <dt>prior</dt>
<dd>prior probabilities, default to the class proportions for the training set.</dd>

 <dt>tol</dt>
<dd>tolerance</dd>

 <dt>...</dt>
<dd>arguments passed to or from other methods.</dd>
 
</dl>

Arguments

Valentin Todorov <a href='mailto:valentin.todorov@chello.at'>valentin.todorov@chello.at</a>

QdaClassic: Quadratic Discriminant Analysis

Description

Usage

Arguments

Value

References

See Also