IC: Generating function for IC-class

In ROptEstOld: Optimally Robust Estimation - Old Version

Description

Generates an object of class "IC".

Usage

IC(name, Curve = EuclRandVarList(RealRandVariable(Map = list(function(x){x}), 
                                        Domain = Reals())), 
   Risks, Infos, CallL2Fam = call("L2ParamFamily"))

Arguments

name	Object of class "character".
CallL2Fam	object of class "call": creates an object of the underlying L2-differentiable parametric 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.

Value

Object of class "IC"

Author(s)

Matthias Kohl [e-mail]

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.

See Also

IC-class

Examples

IC1 <- IC()
plot(IC1)

## The function is currently defined as
IC <- function(name, Curve = EuclRandVarList(RealRandVariable(Map = list(function(x){x})), 
               Domain = Reals()), Risks, Infos, CallL2Fam = call("L2ParamFamily")){
    if(missing(name))
        name <- "square integrable (partial) influence curve"
    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("IC", name = name, Curve = Curve, Risks = Risks,
               Infos = Infos, CallL2Fam = CallL2Fam))
}

ROptEstOld documentation built on May 2, 2019, 12:51 p.m.