kStepEstimate-class.
Class of asymptotically linear estimates.
Objects can be created by calls of the form new("kStepEstimate", ...).
More frequently they are created via the generating function
kStepEstimator.
nameObject of class "character":
name of the estimator.
estimateObject of class "ANY":
estimate.
estimate.callObject of class "call":
call by which estimate was produced.
samplesize object of class "numeric" —
the samplesize (only complete cases are counted)
at which the estimate was evaluated.
completecases: object of class "logical" —
complete cases at which the estimate was evaluated.
asvar object of class "OptionalNumericOrMatrix"
which may contain the asymptotic (co)variance of the estimator.
asbiasOptional object of class "numeric":
asymptotic bias.
pICOptional object of class InfluenceCurve:
influence curve.
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.
stepsObject of class "integer": number
of steps.
Infos object of class "matrix"
with two columns named method and message:
additional informations.
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.
pICListOptional object of class "OptionalpICList":
the list of (intermediate) (partial) influence curves used;
only filled when called from kStepEstimator with argument
withPICList==TRUE.
ICListOptional object of class "OptionalpICList":
the list of (intermediate) (total) influence curves used;
only filled when called from kStepEstimator with argument
withICList==TRUE.
startThe argument start — of class "StartClass"
used in call to kStepEstimator.
startvalObject of class matrix:
the starting value with which the k-step Estimator was initialized
(in p-space / transformed).
ustartvalObject of class matrix:
the starting value with which the k-step Estimator was initialized
(in k-space / untransformed).
kstepsObject of class "OptionalMatrix":
the intermediate estimates (in p-space) for the parameter;
only filled when called from kStepEstimator.
ukstepsObject of class "OptionalMatrix":
the intermediate estimates (in k-space) for the parameter;
only filled when called from kStepEstimator.
robestcallObject of class "OptionalCall", i.e.,
a call or NULL: only filled when called from roptest
in package ROptEst.
Class "ALEstimate", directly.
Class "Estimate", by class "ALEstimate"
signature(object = "kStepEstimate"):
accessor function for slot steps.
signature(object = "kStepEstimate"):
accessor function for slot ksteps; has additional argument
diff, defaulting to FALSE; if the latter is TRUE,
the starting value from slot startval is prepended as first column;
otherwise we return the corresponding increments in each step.
signature(object = "kStepEstimate"):
accessor function for slot uksteps; has additional argument
diff, defaulting to FALSE; if the latter is TRUE,
the starting value from slot ustartval is prepended as first column;
otherwise we return the corresponding increments in each step.
signature(object = "kStepEstimate"):
accessor function for slot start.
signature(object = "kStepEstimate"):
accessor function for slot startval.
signature(object = "kStepEstimate"):
accessor function for slot startval.
signature(object = "kStepEstimate"):
accessor function for slot ICList.
signature(object = "kStepEstimate"):
accessor function for slot pICList.
signature(object = "kStepEstimate"):
accessor function for slot robestCall.
signature(object = "kStepEstimate"):
accessor function for attribute "timings".
signature(object = "kStepEstimate"): a show method;
Matthias Kohl Matthias.Kohl@stamats.de and Peter Ruckdeschel peter.ruckdeschel@uni-oldenurg.de
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