gnrflex.control {gnrprod}

Control parameters in gnrflex

Description

Allows the user to modify convergence parameters of Gauss Newton algorithm used in the gnrflex function.

Usage

gnrflex.control(degree = 3, maxit = 100, reltol = 1e-5,
                       initial_step = 100, min_factor = 1e-5)

Arguments

degree

degree of share regression polynomial. Defaults to 3.

maxit

maximum number of iterations. Defaults to 100.

reltol

relative convergence tolerance. Defaults to 1e-5.

initial_step

a scaling parameter specifying the initial step-size factor used in each iteration of the Gauss-Newton algorithm. initial_step is halved in each convergence step.

min_factor

the minimum value that the step-size factor can take on in the convergence step of any iteration of the Gauss-Newton algorithm.

Value

a list containing five elements: degree, maxit, reltol, initial_step, and min_factor.