nlrq.control

maxiter

the number of iterations of the Meketon algorithm to be calculated 
	in each step, usually 2 is reasonable, occasionally it may be helpful 
	to set k=1

Starting value in <code>optim</code> to determine the step
	length of iterations.  The default value of 1 is sometimes too optimistic.
	In such cases, the value 0 forces optim to just barely stick its toe in
	the water.

InitialStepSize

tolerance for convergence of the algorithm

a shrinkage parameter which controls the recentering process 
	in the interior point algorithm.

beta

Set algorithmic parameters for nlrq (nonlinear quantile regression function)

nlrq.control: Set control parameters for nlrq

Description

Usage

Arguments

See Also