RobAStBase (version 0.7.1)

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, ...)
## S3 method for class 'numeric':
kStepEstimator.start(start, nrvalues, ...)
## S3 method for class 'Estimate':
kStepEstimator.start(start, nrvalues, ...)
## S3 method for class '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)

docType

methods

concept

estimate

References

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

See Also

kStepEstimator,ALEstimate-class