nlsr: Functions for Nonlinear Least Squares Solutions

Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the 'nls()' function in the R distribution. For example, 'nls()' specifically does NOT deal with small or zero residual problems as its Gauss-Newton method frequently stops with 'singular gradient' messages. 'nlsr' is based on the now-deprecated package 'nlmrt', and has refactored functions and R-language symbolic derivative features.

Package overview nlsr Background, Development, Examples and Discussion nlsr Comparison nlsr Derivatives Specifying Fixed Parameters A comparison of nlsr::nlxb with nls and minpack::nlsLM nlsr Background, Development, Examples and Discussion nlsr Derivatives Specifying Fixed Parameters

Vignettes Man pages API and functions Files

Package details
Author	John C Nash [aut, cre], Duncan Murdoch [aut]
Maintainer	John C Nash <nashjc@uottawa.ca>
License	GPL-2
Version	2021.8.19
Package repository	View on R-Forge
Installation	Install the latest version of this package by entering the following in R: `install.packages("nlsr", repos="http://R-Forge.R-project.org")`