| nls.control {nls} | R Documentation |
Control the Iterations in nls
Description
Allow the user to set some characteristics of the nls
nonlinear least squares algorithm.
Usage
nls.control(maxiter=50, tol=1e-05, minFactor=1/1024)
Arguments
maxiter |
A positive integer specifying the maximum number of iterations allowed. |
tol |
A positive numeric value specifying the tolerance level for the relative offset convergence criterion. \itemminFactorA positive numeric value specifying the minimum step-size factor allowed on any step in the iteration. The increment is calculated with a Gauss-Newton algorithm and successively halved until the residual sum of squares has been decreased or until the step-size factor has been reduced below this limit. |
A list with exactly three components:
Bates and Watts (1988), Nonlinear Regression Analysis
and Its Applications, Wiley.
Douglas Bates and Saikat DebRoy
nls
nls.control(minFactor = 1/2048)
nonlinear
regression
models