nls_optimize {pCODE} | R Documentation |
Optimizer for non-linear least square problems
Description
Obtain the solution to minimize the sum of squared errors of the defined function fun
by levenberg-marquardt method. Adapted from PRACMA package.
Usage
nls_optimize(fun, x0, ..., options,verbal)
Arguments
fun |
The function returns the vector of weighted residuals. |
x0 |
The initial value for optimization. |
... |
Parameters to be passed for |
options |
Additional optimization controls. |
verbal |
Default = 1 for printing iteration and other for suppressing |
Value
par |
The solution to the non-linear least square problem, the same size as |
[Package pCODE version 0.9.4 Index]