CondIC: Generating function for CondIC-class

Description

Generates an object of class "CondIC".

Usage

CondIC(name, Curve = EuclRandVarList(EuclRandVariable(
       Map = list(function(x){x[1] * x[2]}),
       Domain = EuclideanSpace(dimension = 2),
       Range = Reals())),
       Risks, Infos, CallL2Fam = call("L2RegTypeFamily"))

Arguments

name

character string: name.

CallL2Fam

object of class "call": creates an object of "L2RegTypeFamily".

Curve

object of class "EuclRandVariable": curve

Risks

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

Infos

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

Value

Object of class "CondIC"

References

Hampel et al. (1986) Robust Statistics. The Approach Based on Influence Functions. New York: Wiley.

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 {
CondIC()

## The function is currently defined as
function(name, Curve = EuclRandVariable(Map = list(function(x){x[1]*x[2]}),
                             Domain = EuclideanSpace(dimension = 2)),
         Risks, Infos, CallL2Fam = call("L2RegTypeFamily")){
    if(missing(name))
        name <- "Influence curve for a L_2 differentiable regression type family"
    if(missing(Risks))
        Risks <- list()
    if(missing(Infos))
        Infos <- matrix(c(character(0),character(0)), ncol=2,
                     dimnames=list(character(0), c("method", "message")))
    return(new("CondIC", name = name, Curve = Curve, Risks = Risks,
               Infos = Infos, CallL2Fam = CallL2Fam))
  }
# }