Class of (partial) influence curves of Hampel (= total variation or contamination) type;
used as common mother class for classes ContIC and TotalVarIC.
Objects can be created by calls of the form new("HampIC", ...).
CallL2Famobject of class "call":
creates an object of the underlying L2-differentiable
parametric family.
nameobject of class "character"
Curveobject of class "EuclRandVarList"
modifyICobject of class "OptionalFunction":
function of four arguments: (1) L2Fam an L2 parametric family
(2) IC an optional influence curve, (3) withMakeIC
a logical argument whether to enforce the IC side conditions
by makeIC, and (4) ... for arguments to be passed to
calls to E in makeIC. Returns an object of
class "IC". This function is mainly used for internal
computations!
Risksobject of class "list":
list of risks; cf. RiskType-class.
Infosobject of class "matrix"
with two columns named method and message:
additional informations.
standobject of class "matrix":
standardizing matrix.
weightobject of class "RobWeight":
weight function
biastypeobject of class "BiasType":
bias type (symmetric/onsided/asymmetric)
normtypeobject of class "NormType":
norm type (Euclidean, information/self-standardized)
lowerCaseobject of class "OptionalNumeric":
optional constant for lower case solution.
neighborRadiusobject of class "numeric":
radius of the corresponding (unconditional) contamination
neighborhood.
Class "IC", directly.
Class "InfluenceCurve", by class "IC".
signature(object = "HampIC"):
accessor function for slot stand.
signature(object = "HampIC"):
accessor function for slot weight.
signature(object = "HampIC"):
accessor function for slot biastype.
signature(object = "HampIC"):
accessor function for slot normtype.
signature(object = "HampIC"):
accessor function for slot lowerCase.
signature(object = "HampIC"):
accessor function for slot neighborRadius.
signature(object = "HampIC"):
replacement function for slot neighborRadius.
signature(object = "ANY"):
returns NULL.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Hampributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
IC-class
IC1 <- new("HampIC")
plot(IC1)
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