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RobAStBase (version 1.2.6)

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

Value

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

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.

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

Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de

References

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

See Also

kStepEstimator,ALEstimate-class