Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.
This repo to allow access to others to working files in nlsr package by J C Nash as of 2022-9-1.
Attempts to alias wrapnlsr() as nlsr() have not been successful. However, explicit copy of code from wrapnlsr() to nlsr() with name changes gives a sane package. Attempts with
nlsr <- wrapnlsr
gave check errors, mainly w.r.t. the .Rd manual files.
JN