"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 parameterNULL
whereupon the return class will be
L2LocationScaleFamily
; but, internally, this generating function is also
used to produce objects of class Cl"L2LocationFamily"
name
is missing, the default
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.L2LocationFamily-class
F1 <- L2LocationFamily()
plot(F1)
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