| IC-class {RobAStBase} | R Documentation |
Class of (partial) influence curves.
Objects can be created by calls of the form new("IC", ...).
More frequently they are created via the generating function
IC.
CallL2Fam:"call":
creates an object of the underlying L2-differentiable
parametric family. modifyIC:"OptionalFunction":
function of two arguments, which are an L2 parametric family
and an optional influence curve. Returns an object of
class "IC". This slot is mainly used for internal
computations! name:"character". Curve:"EuclRandVarList".Risks:"list":
list of risks; cf. RiskType-class. Infos:"matrix"
with two columns named method and message:
additional informations.
Class "InfluenceCurve", directly.
signature(object = "IC"):
accessor function for slot CallL2Fam. signature(object = "IC"):
replacement function for slot CallL2Fam. signature(object = "IC"):
accessor function for slot modifyIC. signature(IC = "IC", L2Fam = "missing"):
check centering and Fisher consistency of IC assuming
the L2-differentiable parametric family which can
be generated via the slot CallL2Fam of IC. signature(IC = "IC", L2Fam = "L2ParamFamily"):
check centering and Fisher consistency of IC assuming
the L2-differentiable parametric family L2Fam. signature(IC = "IC", x = "numeric"):
evaluate IC at x. signature(IC = "IC", x = "matrix"):
evaluate IC at the rows of x. signature(object = "IC"):
Plot absolute and relative information of IC. signature(x = "IC", y = "missing")signature(object = "IC")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.
IC1 <- new("IC")
plot(IC1)