| getweight-methods {RobAStBase} | R Documentation |
Generates weight functions of Hampel / BdSt type for different bias and norm types.
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, ...)
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. |
These functions generate the weight function in slot weight in a corresp.
object of class RobWeight and descendants.
Object of class "HampelWeight" resp. "BdStWeight"
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "BiasType") with additional argument biastype of class
"BiasType": produces weight slot...signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "BiasType") with additional argument biastype of class
"BiasType": produces weight slot...signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "onesidedBias"): produces weight slot...signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "onesidedBias"): produces weight slot...signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "asymmetricBias"): produces weight slot...signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "asymmetricBias"): produces weight slot...signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood",
biastype = "BiasType"): produces weight slot...signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood",
biastype = "BiasType"): produces weight slot...Peter Ruckdeschel Peter.Ruckdeschel@itwm.fraunhofer.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.
BdStWeight-class,
HampelWeight-class,
IC-class