"L2LocationFamily".
L2LocationFamily(loc = 0, name, centraldistribution = Norm(), locname = "loc", modParam, LogDeriv, L2derivDistr.0, FisherInfo.0, distrSymm, L2derivSymm, L2derivDistrSymm, trafo, .returnClsName = NULL)"AbscontDistribution";
we assume from the beginning, that centraldistribution
is symmetric about its median."param") to the distribution space
(represented by "distribution"). x: the negative logarithmic
derivative of the density of the central distribution; if missing, it is
determined numerically using numeric differentiation. "UnivariateDistribution":
distribution of the L2derivative at the central distribution "PosSemDefSymmMatrix":
Fisher information of the model at the "standard" parameter value"DistributionSymmetry":
symmetry of distribution. "FunSymmList":
symmetry of the maps contained in L2deriv "DistrSymmList":
symmetry of the distributions contained in L2derivDistr param: transformation of the parameter NULL whereupon the return class will be
L2LocationScaleFamily; but, internally, this generating function is also
used to produce objects of class Classes NormLocationFamily and
GumbelLocationFamily (the latter in package RobExtremes."L2LocationFamily"name is missing, the default
L2 location family is used.
The function modParam is optional. If it is missing, it is
constructed from centraldistribution using the location structure
of the model.
Slot param is filled accordingly with the argument
trafo passed to L2LocationFamily.
In case L2derivDistr.0 is missing, L2derivDistr is computed
via imageDistr, else L2derivDistr is assigned
L2derivDistr.0, coerced to "UnivariateDistributionList".
In case FisherInfo.0 is missing, Fisher information is computed
from L2deriv using E.
If distrSymm is missing, it is set to symmetry about loc.
If L2derivSymm is missing, it is set to no symmetry, and
if L2derivDistrSymm is missing, it is set to no symmetry, too.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
L2LocationFamily-classF1 <- L2LocationFamily()
plot(F1)
Run the code above in your browser using DataLab