nls_optimize.inner

The function returns the vector of weighted residuals.

The initial value for optimization.

Parameters to be passed for <code>fun</code>

options

Obtain the solution to minimize the sum of squared errors of the defined function <code>fun</code> by levenberg-marquardt method. Adapted from PRACMA package.

An implementation of the parameter cascade method Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) <doi:10.1111/j.1467-9868.2007.00610.x> for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.

nls_optimize.inner: Optimizer for non-linear least square problems (for inner objective functions)

Description

Usage

Arguments

Value