Av1CondTotalVarIC {ROptRegTS} | R Documentation |
Generates an object of class "Av1CondContIC"
;
i.e., an influence curves eta of the form
eta = A x Lambda_f min(1, max(c(x)/(|Ax|Lambda_f), (c(x) + b)/(|Ax|Lambda_f)))
with lower clipping function c, standardized bias b and standardizing matrix A. Lambda_f stands for the L2 derivative of the corresponding error distribution.
Av1CondTotalVarIC(name, CallL2Fam = call("L2RegTypeFamily"), Curve = EuclRandVarList(RealRandVariable(Map = list(function(x) {x[1] * x[2]}), Domain = EuclideanSpace(dimension = 1))), Risks, Infos, clipUp = Inf, stand = as.matrix(1), clipLo = RealRandVariable(Map = list(function(x) {-Inf}, Domain = EuclideanSpace(dimension = 1)), Domain = EuclideanSpace(dimension = 2)), lowerCase = NULL, neighborRadius = 0)
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. |
clipUp |
positive real: standardized bias. |
clipLo |
object of class "RealRandVariable" :
lower clipping function. |
stand |
matrix: standardizing matrix. |
lowerCase |
optional constant for lower case solution. |
neighborRadius |
radius of the corresponding (unconditional) contamination neighborhood. |
Object of class "Av1CondTotalVarIC"
Matthias Kohl Matthias.Kohl@stamats.de
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
CondIC-class
, Av1CondTotalVarIC-class
IC1 <- Av1CondTotalVarIC() IC1