getModifyIC: Generic Function for the Computation of Functions for Slot modifyIC

Description

These function is used by internal computations and is rarely called directly.

Usage

getModifyIC(L2FamIC, neighbor, risk,...)
# S4 method for L2ParamFamily,Neighborhood,asRisk
getModifyIC(L2FamIC,
          neighbor, risk, ...)
# S4 method for L2LocationFamily,UncondNeighborhood,asGRisk
getModifyIC(L2FamIC,
          neighbor, risk, ...)
# S4 method for L2LocationFamily,UncondNeighborhood,fiUnOvShoot
getModifyIC(L2FamIC,
          neighbor, risk, ...)
# S4 method for L2ScaleFamily,UncondNeighborhood,asGRisk
getModifyIC(L2FamIC,
          neighbor, risk, ..., modifyICwarn = NULL)
# S4 method for L2LocationScaleFamily,UncondNeighborhood,asGRisk
getModifyIC(L2FamIC,
          neighbor, risk, ..., modifyICwarn = NULL)
scaleUpdateIC(neighbor,...)
# S4 method for UncondNeighborhood
scaleUpdateIC(neighbor, sdneu, sdalt, IC)
# S4 method for ContNeighborhood
scaleUpdateIC(neighbor, sdneu, sdalt, IC)
# S4 method for TotalVarNeighborhood
scaleUpdateIC(neighbor, sdneu, sdalt, IC)

Value

getmodifyIC: Function for slot modifyIC of ICs
scaleUpdateIC: a list to be digested in corresponding methods of getmodifyIC by generateIC

Arguments

L2FamIC: object of class L2ParamFamily.
neighbor: object of class "Neighborhood".
risk: object of class "RiskType"
...: further arguments to be passed over to optIC.
sdneu: positive numeric of length one; the new scale.
sdalt: positive numeric of length one; the new scale.
IC: a Hampel-IC to be updated.
modifyICwarn: logical: should a (warning) information be added if modifyIC is applied and hence some optimality information could no longer be valid? Defaults to NULL in which case this value is taken from RobAStBaseOptions.

Author

Matthias Kohl Matthias.Kohl@stamats.de

Details

This function is used for internal computations. By setting RobAStBaseOption("all.verbose" = TRUE) somewhere globally, the generated function modifyIC will generate calls to optIC with argument verbose=TRUE.

References

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

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