RobAStBase: kStepEstimatorStart-methods – R documentation

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kStepEstimatorStart-methods

Methods for function kStepEstimator.start in Package ‘RobAStBase’

Description

kStepEstimator.start-methods; these are called from within kStepEstimator to produce a numeric value of for the starting estimator in the end.

Usage

kStepEstimator.start(start, ...)
## S4 method for signature 'numeric'
kStepEstimator.start(start, nrvalues, ...)
## S4 method for signature 'Estimate'
kStepEstimator.start(start, nrvalues, ...)
## S4 method for signature 'function'
kStepEstimator.start(start, x, nrvalues, na.rm, L2Fam, startList)

Arguments

`start`	the start slot of an object of class `kStepEstimator`
`nrvalues`	numeric; dimension k of the original model, i.e.; length of the untransformed parameter, or joint length of main and nuisance part of the parameter.
`x`	the data at which the starting estimator is to be evaluated.
`na.rm`	logical: if `TRUE`, the estimator is evaluated at `complete.cases(x)`.
`startList`	a list of arguments to be given to the call to `start` if this is a function;
`L2Fam`	the parametric famliy;
`...`	further arguments for `kStepEstimator.start`.

Value

a numeric vector with the corresponding value of the start estimator (in k space)

Methods

kStepEstimator.start: signature(start = "numeric"): returns the unchanged argument start if it has the correct length; otherwise throws an error.
kStepEstimator.start: signature(start = "Estimate"): returns slot untransformed.estimate of start if it is not NULL, and else slot estimate if the latter has dimension nrvalues.
kStepEstimator.start: signature(start = "function"): returns kStepEstimator.start(do.call(start, args=c(list(x,L2Fam),startList) where, if na.rm == TRUE, beforehand x has been modified to x <- complete.cases(x).

Author(s)

Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de

References

Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.