getStartIC
computes the optimally-robust IC to be used as
argument ICstart
in kStepEstimator
.
getStartIC(model, risk, ...)
# S4 method for ANY,ANY
getStartIC(model, risk, ...)
# S4 method for L2ParamFamily,asGRisk
getStartIC(model, risk, ...,
withEvalAsVar = TRUE, withMakeIC = FALSE, ..debug=FALSE,
modifyICwarn = NULL, diagnostic = FALSE)
# S4 method for L2ParamFamily,asBias
getStartIC(model, risk, ..., withMakeIC = FALSE,
..debug=FALSE, modifyICwarn = NULL, diagnostic = FALSE)
# S4 method for L2ParamFamily,asCov
getStartIC(model, risk, ..., withMakeIC = FALSE,
..debug=FALSE)
# S4 method for L2ParamFamily,trAsCov
getStartIC(model, risk, ..., withMakeIC = FALSE,
..debug=FALSE)
# S4 method for L2ParamFamily,asAnscombe
getStartIC(model, risk, ...,
withEvalAsVar = TRUE, withMakeIC = FALSE, ..debug=FALSE,
modifyICwarn = NULL, diagnostic = FALSE)
# S4 method for L2LocationFamily,interpolRisk
getStartIC(model, risk, ...)
# S4 method for L2ScaleFamily,interpolRisk
getStartIC(model, risk, ...)
# S4 method for L2LocationScaleFamily,interpolRisk
getStartIC(model, risk, ...)
An IC of type HampIC
.
normtype of class NormType
normtype of class NormType
further arguments to be passed to specific methods.
logical (of length 1):
if TRUE
, risks based on covariances are to be
evaluated (default), otherwise just a call is returned.
logical; if TRUE
the IC is passed through
makeIC
before return.
logical; if TRUE
information for debugging is issued.
logical: should a (warning) information be added if
modifyIC
is applied and hence some optimality information could
no longer be valid? Defaults to NULL
in which case this value
is taken from RobAStBaseOptions
.
logical; if TRUE
,
diagnostic information on the performed integrations is gathered and
shipped out as an attribute diagnostic
of the return value
of the estimators.
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
getStartIC
is used internally in functions robest
and roptest
to compute the optimally robust influence function
according to the arguments given to them.
robest
,optIC
, radiusMinimaxIC