infoPlot: Plot absolute and relative information
In ROptEstOld: Optimally Robust Estimation - Old Version
infoPlot R Documentation
Plot absolute and relative information
Description
Plot absolute and relative information of influence curves.
Usage
infoPlot(object)
Arguments
object
object of class "InfluenceCurve"
Details
Absolute information is defined as the square of the length
of an IC. The relative information is defined as the
absolute information of one component with respect to the
absolute information of the whole IC; confer Section 8.1
of Kohl (2005).
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness.
Bayreuth: Dissertation.
See Also
L2ParamFamily-class, IC-class
Examples
N <- NormLocationScaleFamily(mean=0, sd=1)
IC1 <- optIC(model = N, risk = asCov())
infoPlot(IC1)
ROptEstOld documentation built on Feb. 4, 2024, 3 p.m.
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| infoPlot | R Documentation |
Plot absolute and relative information
Description
Plot absolute and relative information of influence curves.
Usage
infoPlot(object)
Arguments
object |
object of class |
Details
Absolute information is defined as the square of the length of an IC. The relative information is defined as the absolute information of one component with respect to the absolute information of the whole IC; confer Section 8.1 of Kohl (2005).
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
See Also
L2ParamFamily-class, IC-class
Examples
N <- NormLocationScaleFamily(mean=0, sd=1)
IC1 <- optIC(model = N, risk = asCov())
infoPlot(IC1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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