# Generating function for CondIC-class

### Description

Generates an object of class `"CondIC"`

.

### Usage

1 2 3 4 5 |

### Arguments

`name` |
character string: name. |

`CallL2Fam` |
object of class |

`Curve` |
object of class |

`Risks` |
object of class |

`Infos` |
matrix of characters with two columns
named |

### Value

Object of class `"CondIC"`

### Author(s)

Matthias Kohl Matthias.Kohl@stamats.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.

### See Also

`CondIC-class`

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
CondIC()
## The function is currently defined as
function(name, Curve = EuclRandVariable(Map = list(function(x){x[1]*x[2]}),
Domain = EuclideanSpace(dimension = 2)),
Risks, Infos, CallL2Fam = call("L2RegTypeFamily")){
if(missing(name))
name <- "Influence curve for a L_2 differentiable regression type family"
if(missing(Risks))
Risks <- list()
if(missing(Infos))
Infos <- matrix(c(character(0),character(0)), ncol=2,
dimnames=list(character(0), c("method", "message")))
return(new("CondIC", name = name, Curve = Curve, Risks = Risks,
Infos = Infos, CallL2Fam = CallL2Fam))
}
``` |

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