nlsr: Functions for Nonlinear Least Squares Solutions - Updated 2022

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.

Package details

AuthorJohn C Nash [aut, cre], Duncan Murdoch [aut]
MaintainerJohn C Nash <nashjc@uottawa.ca>
LicenseGPL-2
Version2022.8.16
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nlsr")

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nlsr documentation built on Aug. 17, 2022, 1:09 a.m.