| CondIC {ROptRegTS} | R Documentation |
Generates an object of class "CondIC".
CondIC(name, Curve = EuclRandVarList(EuclRandVariable(Map = list(function(x){x[1] * x[2]}),
Domain = EuclideanSpace(dimension = 2))),
Risks, Infos, CallL2Fam = call("L2RegTypeFamily"))
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. |
Object of class "CondIC"
Matthias Kohl Matthias.Kohl@stamats.de
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.
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))
}