CovControlMve-class: Class 'CovControlMve' - contains control parameters for...

In rrcov: Scalable Robust Estimators with High Breakdown Point

Class 'CovControlMve' - contains control parameters for CovMve

Description

This class extends the CovControl class and contains the control parameters for "CovMve"

Objects from the Class

Objects can be created by calls of the form new("CovControlMve", ...) or by calling the constructor-function CovControlMve.

Slots

alpha:

numeric parameter controlling the size of the subsets over which the determinant is minimized, i.e., alpha*n observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.5.

nsamp:

number of subsets used for initial estimates or "best" or "exact". Default is nsamp = 500. For nsamp="best" exhaustive enumeration is done, as long as the number of trials does not exceed 5000. For "exact", exhaustive enumeration will be attempted however many samples are needed. In this case a warning message will be displayed saying that the computation can take a very long time.

seed:

starting value for random generator. Default is seed = NULL

trace, tolSolve:

from the "CovControl" class.

Extends

Class "CovControl", directly.

Methods

restimate

signature(obj = "CovControlMve"): the generic function restimate allowes the different methods for robust estimation to be used polymorphically - this function will call CovMve passing it the control object and will return the obtained CovRobust 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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v032.i03")}.

Examples

    ## the following two statements are equivalent
    ctrl1 <- new("CovControlMve", alpha=0.75)
    ctrl2 <- CovControlMve(alpha=0.75)

    data(hbk)
    CovMve(hbk, control=ctrl1)

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