# nlrq.control

From quantreg v5.54
by Roger Koenker

##### Set control parameters for nlrq

Set algorithmic parameters for nlrq (nonlinear quantile regression function)

- Keywords
- environment

##### Usage

`nlrq.control(maxiter=100, k=2, InitialStepSize = 1, big=1e+20, eps=1e-07, beta=0.97)`

##### Arguments

- maxiter
maximum number of allowed iterations

- k
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

- InitialStepSize
Starting value in

`optim`

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.- big
a large scalar

- eps
tolerance for convergence of the algorithm

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

##### See Also

*Documentation reproduced from package quantreg, version 5.54, License: GPL (>= 2)*

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