kStepEstimator.start-methods; these are called from within
kStepEstimator to produce a numeric value of for the starting estimator
in the end.
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)a numeric vector with the corresponding value of the start estimator (in \(k\) space)
the start slot of an object of class kStepEstimator
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.
the data at which the starting estimator is to be evaluated.
logical: if TRUE, the estimator is evaluated at complete.cases(x).
a list of arguments to be given to the call to start
if this is a function;
the parametric famliy;
further arguments for kStepEstimator.start.
signature(start = "numeric"):
returns the unchanged argument start if it has the correct length;
otherwise throws an error.
signature(start = "Estimate"):
returns slot untransformed.estimate of start if it is not
NULL, and else slot estimate if the latter has dimension
nrvalues.
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).
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
kStepEstimator,ALEstimate-class