CovNARobust-class: Class "CovNARobust" - virtual base class for robust estimates...

In rrcovNA: Scalable Robust Estimators with High Breakdown Point for Incomplete Data

Class "CovNARobust" - virtual base class for robust estimates of multivariate location and scatter for incomplete data

Description

CovNARobust is a virtual base class used for deriving the concrete classes representing different robust estimates of multivariate location and scatter for incomplete data. Here are implemeted the standard methods common for all robust estimates like show, summary and plot. The derived classes can override these methods and can define new ones.

Objects from the Class

A virtual Class: No objects may be created from it.

Slots

iter:

number of iterations used to compute the estimates

crit:

value of the criterion function

wt:

weights

call, cov, center, n.obs, mah, method, singularity, X:

from the "Cov-class" class.

Extends

Classes "CovNA" and "CovRobust-class", directly.

Methods

plot

signature(x = "CovNARobust"): plot the object

summary

signature(object = "CovNARobust"): display additional information for the object

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. <doi:10.18637/jss.v032.i03>.

See Also

CovNA, CovNAMcd, CovNAOgk, CovNASde , CovNASest

Examples

     data(hbk)
     hbk.x <- data.matrix(hbk[, 1:3])
     cv <- CovMest(hbk.x)               # it is not possible to create an object of
                                        # class CovRobust, since it is a VIRTUAL class
     cv
     summary(cv)                        # summary method for class CovRobust
     plot(cv)                           # plot method for class CovRobust

rrcovNA documentation built on Sept. 11, 2024, 8:12 p.m.