# getFixClip: Generic Function for the Computation of the Optimal Clipping... In ROptEst: Optimally Robust Estimation

 getFixClip R Documentation

## Generic Function for the Computation of the Optimal Clipping Bound

### Description

Generic function for the computation of the optimal clipping bound in case of robust models with fixed neighborhoods. This function is rarely called directly. It is used to compute optimally robust ICs.

### Usage

```getFixClip(clip, Distr, risk, neighbor,  ...)

## S4 method for signature 'numeric,Norm,fiUnOvShoot,ContNeighborhood'
getFixClip(clip, Distr, risk, neighbor)

## S4 method for signature 'numeric,Norm,fiUnOvShoot,TotalVarNeighborhood'
getFixClip(clip, Distr, risk, neighbor)
```

### Arguments

 `clip` positive real: clipping bound `Distr` object of class `"Distribution"`. `risk` object of class `"RiskType"`. `neighbor` object of class `"Neighborhood"`. `...` additional parameters.

### Value

The optimal clipping bound is computed.

### Methods

clip = "numeric", Distr = "Norm", risk = "fiUnOvShoot", neighbor = "ContNeighborhood"

optimal clipping bound for finite-sample under-/overshoot risk.

clip = "numeric", Distr = "Norm", risk = "fiUnOvShoot", neighbor = "TotalVarNeighborhood"

optimal clipping bound for finite-sample under-/overshoot risk.

### Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

### References

Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269–278.

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

`ContIC-class`, `TotalVarIC-class`