Description Objects from the Class Slots Extends Methods Author(s) References See Also Examples

Class of conditionally centered partial influence curves.

Objects can be created by calls of the form `new("CondIC", ...)`

.
More frequently they are created via the generating function
`CondIC`

.

`CallL2Fam`

:Object of class

`"call"`

: creates an object of class`"L2RegTypeFamily"`

.`name`

:Object of class

`"character"`

: name`Curve`

:Object of class

`"EuclRandVariable"`

: curve.`Risks`

:Object of class

`"list"`

: list of risks; cf.`RiskType-class`

.`Infos`

:Object of class

`"matrix"`

with two columns named`method`

and`message`

: additional informations.

Class `"IC"`

, directly.

Class `"InfluenceCurve"`

, by class `"IC"`

.

- CallL2Fam<-
`signature(object = "IC")`

: replacement function for slot`CallL2Fam`

.- checkIC
`signature(IC = "CondIC", L2Fam = "missing")`

: check conditional centering and Fisher consistency of`IC`

assuming the L2-differentiable regression-type family which can be created via the slot`CallL2Fam`

of`IC`

.- checkIC
`signature(IC = "CondIC", L2Fam = "L2RegTypeFamily")`

: check conditional centering and Fisher consistency of`IC`

assuming the L2-differentiable regression-type family`L2Fam`

.- show
`signature(object = "CondIC")`

Matthias Kohl Matthias.Kohl@stamats.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.

`InfluenceCurve-class`

, `IC-class`

1 | ```
new("CondIC")
``` |

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