CSimca-class: Class '"CSimca"' - classification in high dimensions based on...

In rrcovHD: Robust Multivariate Methods for High Dimensional Data

Description

The class CSimca represents the SIMCA algorithm for classification in high dimensions. The objects of class CSImca contain the results of the SIMCA method.

Objects from the Class

Objects can be created by calls of the form new("CSImca", ...) but the usual way of creating CSimca objects is a call to the function CSimca() which serves as a constructor.

Slots

call:

the (matched) function call.

prior:

prior probabilities used, default to group proportions

counts:

number of observations in each class

pcaobj:

A list of Pca objects - one for each group

k:

Object of class "numeric" number of (choosen) principal components

flag:

Object of class "Uvector" The observations whose score distance is larger than cutoff.sd or whose orthogonal distance is larger than cutoff.od can be considered as outliers and receive a flag equal to zero. The regular observations receive a flag 1

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.

Extends

Class "Simca", directly.

Methods

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

Author(s)

Valentin Todorov [e-mail]

References

Vanden Branden K, Hubert M (2005) Robust classification in high dimensions based on the SIMCA method. Chemometrics and Intellegent Laboratory Systems 79:10–21

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47, doi: 10.18637/jss.v032.i03.

Todorov V & Filzmoser P (2014), Software Tools for Robust Analysis of High-Dimensional Data. Austrian Journal of Statistics, 43(4), 255–266, doi: 10.17713/ajs.v43i4.44.

Examples

showClass("CSimca")

rrcovHD documentation built on April 23, 2021, 9:08 a.m.