makeIC-methods {RobAStBase}R Documentation

Generic Function for making ICs consistent at a possibly different model

Description

Generic function for providing centering and Fisher consistency of ICs.

Usage

makeIC(IC, L2Fam, ...)

Arguments

IC object of class "IC"
L2Fam L2-differentiable family of probability measures; may be missing.
... additional parameters

Value

An IC at the model.

Methods

makeIC
signature(IC = "IC", L2Fam = "missing": ...
makeIC
signature(IC = "IC", L2Fam = "L2ParamFamily": ...

Author(s)

Peter Ruckdeschel Peter.Ruckdeschel@itwm.fraunhofer.de

References

Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.

Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.

See Also

L2ParamFamily-class, IC-class

Examples

## default IC
IC1 <- new("IC")

## L2-differentiable parametric family
B <- BinomFamily(13, 0.3)

## check IC properties
checkIC(IC1, B)

## make IC
IC2 <- makeIC(IC1, B)

## check IC properties
checkIC(IC2)

## slot modifyIC is filled in case of IC2
IC3 <- modifyIC(IC2)(BinomFamily(13, 0.2), IC2)
checkIC(IC3)
## identical to
checkIC(IC3, BinomFamily(13, 0.2))

[Package RobAStBase version 0.1.5 Index]