R: Functions for Nonlinear Least Squares Solutions

# Functions for Nonlinear Least Squares Solutions

## Documentation for package ‘nlmrt’ version 2016.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

nlmrt-package | Tools for solving nonlinear least squares problems. UNDER DEVELOPMENT.
coef.nlmrt | Output model coefficients for nlmrt object.
model2grfun | Generate a gradient function from a nonlinear model expression and a vector of named parameters.
model2jacfun | Generate a Jacobian matrix function from a nonlinear model expression and a vector of named parameters.
model2resfun | Generate a residual function from a nonlinear model expression and a vector of named parameters.
model2ssfun | Generate a sum of squares objective function from a nonlinear model expression and a vector of named parameters.
modgr | Compute gradient from residuals and Jacobian.
modss | Compute gradient from residuals and Jacobian.
nlfb | Nash variant of Marquardt nonlinear least squares solution via qr linear solver.
nlmrt | Tools for solving nonlinear least squares problems. UNDER DEVELOPMENT.
nlxb | Nash variant of Marquardt nonlinear least squares solution via qr linear solver.
print.nlmrt | Print method for an object of class nlmrt.
summary.nlmrt | Summary output for nlmrt object.
wrapnls | Nash variant of Marquardt nonlinear least squares solution via qr linear solver.