QdaClassic: Quadratic Discriminant Analysis

In rrcov: Scalable Robust Estimators with High Breakdown Point

Quadratic Discriminant Analysis

Description

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

Usage

QdaClassic(x, ...)


## Default S3 method:
QdaClassic(x, grouping, prior = proportions, tol = 1.0e-4, ...)

Arguments

x	a matrix or data frame containing the explanatory variables (training set).
grouping	grouping variable: a factor specifying the class for each observation.
prior	prior probabilities, default to the class proportions for the training set.
tol	tolerance
...	arguments passed to or from other methods.

Value

Returns an S4 object of class QdaClassic

Author(s)

Valentin Todorov [e-mail]

References

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v032.i03")}.

See Also

Qda-class, QdaClassic-class,

rrcov documentation built on May 29, 2024, 1:13 a.m.