Methods for Function getStartIC in Package ‘ROptEst’
getStartIC
computes the optimally-robust IC to be used as
argument ICstart
in kStepEstimator
.
getStartIC(model, risk, ...) ## S4 method for signature 'ANY,ANY' getStartIC(model, risk, ...) ## S4 method for signature 'L2ParamFamily,asGRisk' getStartIC(model, risk, ..., withEvalAsVar = TRUE, withMakeIC = FALSE, ..debug=FALSE, modifyICwarn = NULL, diagnostic = FALSE) ## S4 method for signature 'L2ParamFamily,asBias' getStartIC(model, risk, ..., withMakeIC = FALSE, ..debug=FALSE, modifyICwarn = NULL, diagnostic = FALSE) ## S4 method for signature 'L2ParamFamily,asCov' getStartIC(model, risk, ..., withMakeIC = FALSE, ..debug=FALSE) ## S4 method for signature 'L2ParamFamily,trAsCov' getStartIC(model, risk, ..., withMakeIC = FALSE, ..debug=FALSE) ## S4 method for signature 'L2ParamFamily,asAnscombe' getStartIC(model, risk, ..., withEvalAsVar = TRUE, withMakeIC = FALSE, ..debug=FALSE, modifyICwarn = NULL, diagnostic = FALSE) ## S4 method for signature 'L2LocationFamily,interpolRisk' getStartIC(model, risk, ...) ## S4 method for signature 'L2ScaleFamily,interpolRisk' getStartIC(model, risk, ...) ## S4 method for signature 'L2LocationScaleFamily,interpolRisk' getStartIC(model, risk, ...)
model |
normtype of class |
risk |
normtype of class |
... |
further arguments to be passed to specific methods. |
withEvalAsVar |
logical (of length 1):
if |
withMakeIC |
logical; if |
..debug |
logical; if |
modifyICwarn |
logical: should a (warning) information be added if
|
diagnostic |
logical; if |
getStartIC
is used internally in functions robest
and roptest
to compute the optimally robust influence function
according to the arguments given to them.
An IC of type HampIC
.
signature(model = "ANY", risk = "ANY")
:
issue that this is not yet implemented.
signature(model = "L2ParamFamily", risk = "asGRisk")
:
depending on the values of argument eps
(to be passed on through
the ...
argument) computes the optimally robust influence
function on the fly via calls to optIC
or radiusMinimaxIC
.
signature(model = "L2ParamFamily", risk = "asBias")
:
computes the most-bias-robust influence function on the fly via
calls to optIC
.
signature(model = "L2ParamFamily", risk = "asCov")
:
computes the classically optimal influence function on the fly via
calls to optIC
.
signature(model = "L2ParamFamily", risk = "trAsCov")
:
computes the classically optimal influence function on the fly via
calls to optIC
.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
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