R: Generating weights

getweight-methods {RobAStBase}

R Documentation

Generating weights

Description

Generates weight functions of Hampel / BdSt type for different bias and norm types.

Usage

getweight(Weight, neighbor, biastype, ...)
minbiasweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'HampelWeight,ContNeighborhood,BiasType'
getweight(Weight, neighbor, biastype, normW)
## S4 method for signature 'HampelWeight,ContNeighborhood,BiasType'
minbiasweight(Weight, neighbor, biastype, normW)
## S4 method for signature 'HampelWeight,ContNeighborhood,onesidedBias'
getweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'HampelWeight,ContNeighborhood,onesidedBias'
minbiasweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'HampelWeight,ContNeighborhood,asymmetricBias'
getweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'HampelWeight,ContNeighborhood,asymmetricBias'
minbiasweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'BdStWeight,TotalVarNeighborhood,BiasType'
getweight(Weight, neighbor, biastype, ...)
## S4 method for signature 'BdStWeight,TotalVarNeighborhood,BiasType'
minbiasweight(Weight, neighbor, biastype, ...)

Arguments

`Weight`	Object of class `"RobWeight"`.
`neighbor`	Object of class `"Neighborhood"`.
`biastype`	Object of class `"BiasType"`.
`normW`	Object of class `"NormType"` — only for signature `HampelWeight,ContNeighborhood,BiasType`.
`...`	possibly additional (unused) arguments — like in a call to the less specific methods.

Details

These functions generate the weight function in slot weight in a corresp. object of class RobWeight and descendants.

Value

Object of class "HampelWeight" resp. "BdStWeight"

Methods

getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "BiasType") with additional argument biastype of class "BiasType": produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "BiasType") with additional argument biastype of class "BiasType": produces weight slot...
getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "onesidedBias"): produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "onesidedBias"): produces weight slot...
getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "asymmetricBias"): produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "asymmetricBias"): produces weight slot...
getweight: signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood", biastype = "BiasType"): produces weight slot...
minbiasweight: signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood", biastype = "BiasType"): produces weight slot...

Author(s)

Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de

References

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.