"L2LocationScaleFamily".L2LocationScaleFamily(loc = 0, scale = 1, name, centraldistribution = Norm(),
locscalename = c("loc", "scale"), modParam, LogDeriv,
L2derivDistr.0, FisherInfo.0, distrSymm, L2derivSymm,
L2derivDistrSymm, trafo, .returnClsName = NULL)"AbscontDistribution":
central distribution; we assume by default, that centraldistribution
is symmetric about $0$"param") to the distribution space
(represented by "distribution").c(loc,scale), or named, then names must be "loc" and
"scale"x: the negative logarithmic
derivative of the density of the central distribution; if missing, it is
determined numerically using numeric differentiation."UnivariateDistribution":
(marginal) distributions of the coordinates 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 L2derivDistrparam: transformation of the parameterNULL whereupon the return class will be
L2LocationScaleFamily; but, internally, this generating function is also
used to produce objects of class "L2LocationScaleFamily"name is missing, the default
modParam is optional. If it is missing, it is
constructed from centraldistribution using the location and
scale structure of the model.
Slot param is filled accordingly with the argument
trafo passed to L2LocationScaleFamily.
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, its location and scale components are set
to no symmetry , respectively.
if L2derivDistrSymm is missing, its location and scale components are set
to no symmetry, respectively.L2LocationScaleFamily-classF1 <- L2LocationScaleFamily()
plot(F1)Run the code above in your browser using DataLab