CovControlMcd: Constructor function for objects of class "CovControlMcd"

In armstrtw/rrcov: Scalable Robust Estimators with High Breakdown Point

Description

This function will create a control object CovControlMcd containing the control parameters for CovMcd

Usage

CovControlMcd(alpha = 0.5, nsamp = 500, seed = NULL, trace= FALSE, use.correction = TRUE)

Arguments

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	whether to print intermediate results. Default is trace = FALSE
use.correction	whether to use finite sample correction factors. Default is use.correction=TRUE

Value

A CovControlMcd 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. URL http://www.jstatsoft.org/v32/i03/.

Examples

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

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

armstrtw/rrcov documentation built on May 10, 2019, 1:43 p.m.