Av2CondContIC: Generating function for Av2CondContIC-class

Description

Generates an object of class "Av2CondContIC"; i.e., an influence curves $\eta$ of the form $$\eta = A K^{-1} x(\Lambda_f - z)\min(1,c/|\Lambda_f - z|)$$ with $K=E xx^\tau$, clipping bound $c$, centering constant $z$ and standardizing constant $A$. $\Lambda_f$ stands for the L2 derivative of the corresponding error distribution.

Usage

Av2CondContIC(name, CallL2Fam = call("L2RegTypeFamily"), 
        Curve = EuclRandVarList(RealRandVariable(
                Map = list(function(x) {x[1] * x[2]}),
                Domain = EuclideanSpace(dimension = 2))),
        Risks, Infos, clip = Inf, stand = 1, cent = 0, lowerCase = NULL,
        neighborRadius = 0)

Arguments

name

object of class "character".

CallL2Fam

object of class "call": creates an object of the underlying L2-differentiable regression type family.

Curve

object of class "EuclRandVarList"

Risks

object of class "list": list of risks; cf. RiskType-class.

Infos

matrix of characters with two columns named method and message: additional informations.

clip

positive real: clipping bound.

cent

real: centering constant

stand

real: standardizing constant

lowerCase

optional constant for lower case solution.

neighborRadius

radius of the corresponding (unconditional) contamination neighborhood.

Value

Object of class "Av2CondContIC"

References

Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.

Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.

Examples

Run this code

# NOT RUN {
IC1 <- Av2CondContIC()
IC1
# }