| getStartIC-methods {ROptEst} | R Documentation |
Methods for Function getStartIC in Package ‘ROptEst’
Description
getStartIC computes the optimally-robust IC to be used as
argument ICstart in kStepEstimator.
Usage
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, ...)
Arguments
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 |
Details
getStartIC is used internally in functions robest
and roptest to compute the optimally robust influence function
according to the arguments given to them.
Value
An IC of type HampIC.
Methods
- getStartIC
signature(model = "ANY", risk = "ANY"): issue that this is not yet implemented.- getStartIC
signature(model = "L2ParamFamily", risk = "asGRisk"): depending on the values of argumenteps(to be passed on through the...argument) computes the optimally robust influence function on the fly via calls tooptICorradiusMinimaxIC.- getStartIC
signature(model = "L2ParamFamily", risk = "asBias"): computes the most-bias-robust influence function on the fly via calls tooptIC.- getStartIC
signature(model = "L2ParamFamily", risk = "asCov"): computes the classically optimal influence function on the fly via calls tooptIC.- getStartIC
signature(model = "L2ParamFamily", risk = "trAsCov"): computes the classically optimal influence function on the fly via calls tooptIC.
Author(s)
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de