ellessenne/mla: An Algorithm for Least-squares Curve Fitting

This algorithm provides a numerical solution to the problem of minimizing a function. This is more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum. A new convergence test is implemented (RDM) in addition to the usual stopping criterion: stopping rule is when the gradients are small enough in the parameters metric (GH-1G).

install.packages("remotes")
remotes::install_github("ellessenne/mla")