the asymptotic efficiency of the bounded influence estimates.
tuning.p
a scalar which gives the value of the tuning constant for the
psi-function of the corresponding generalized M-estimator. It is
only used if
method="mal".
max.wt
the maximum number of iterations to compute the optimal weights.
max.rg
the maximum number of iterations to compute the regression estimates.
alg
specifies the algorithm which will be used to compute the regression
estimates. If
alg="W", the conjugate gradient algorithm will be used;
if
alg="N", the Newton-Huber algorithm will be used.
tol
the relative tolerance in the iterative algorithms.
tau
the tolerance used for the determination of pseudo-rank.
VALUE:
a list containing the values used for each of the control parameters.