LDEstimate-class | R Documentation |
Class of Location Dispersion estimates.
Objects can be created by calls of the form new("LDEstimate", ...)
.
More frequently they are created via the generating function
LDEstimator
.
name
Object of class "character"
:
name of the estimator.
estimate
Object of class "ANY"
:
estimate.
estimate.call
Object of class "call"
:
call by which estimate was produced.
dispersion
Object of class "numeric"
:
the value of the fitted dispersion.
location
Object of class "numeric"
:
the value of the fitted location.
Infos
object of class "matrix"
with two columns named method
and message
:
additional informations.
asvar
object of class "OptionalMatrix"
which may contain the asymptotic (co)variance of the estimator.
samplesize
object of class "numeric"
—
the samplesize at which the estimate was evaluated.
nuis.idx
object of class "OptionalNumeric"
:
indices of estimate
belonging to the nuisance part
fixed
object of class "OptionalNumeric"
:
the fixed and known part of the parameter.
trafo
object of class "list"
:
a list with components fct
and mat
(see below).
untransformed.estimate
Object of class "ANY"
:
untransformed estimate.
untransformed.asvar
object of class "OptionalNumericOrMatrix"
which may contain the asymptotic (co)variance of the untransformed
estimator.
completecases
object of class "logical"
—
complete cases at which the estimate was evaluated.
Class "Estimate"
, directly.
signature(object = "LDEstimate")
:
accessor function for slot dispersion
.
signature(object = "LDEstimate")
:
accessor function for slot location
.
signature(object = "LDEstimate")
Matthias Kohl Matthias.Kohl@stamats.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
Estimate-class
, LDEstimator
,
MCEstimator
## (empirical) Data
x <- rgamma(50, scale = 0.5, shape = 3)
## parametric family of probability measures
G <- GammaFamily(scale = 1, shape = 2)
(S <- medQn(x, G))
dispersion(S)
location(S)
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