Functions for Nonlinear Least Squares Solutions
Output model coefficients for nlmrt object.
Generate a gradient function from a nonlinear model expression and a v...
Generate a Jacobian matrix function from a nonlinear model expression ...
Generate a residual function from a nonlinear model expression and a v...
Generate a sum of squares objective function from a nonlinear model ex...
Compute gradient from residuals and Jacobian.
Compute gradient from residuals and Jacobian.
Nash variant of Marquardt nonlinear least squares solution via qr line...
Tools for solving nonlinear least squares problems. UNDER DEVELOPMENT.
Nash variant of Marquardt nonlinear least squares solution via qr line...
Print method for an object of class nlmrt.
Summary output for nlmrt object.
Nash variant of Marquardt nonlinear least squares solution via qr line...
Replacement for nls() tools for working with nonlinear least squares problems. The calling structure is similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding 'singular gradient' messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.