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)) }