nlsr (2017.10.4)

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.

Maintainer: John C. Nash
Author(s): John C Nash [aut, cre], Duncan Murdoch [aut]

License: GPL-2

Uses: digest, Ryacas, minpack.lm, numDeriv, Rcgmin, Rvmmin, knitr, rmarkdown, Deriv, optimr
Reverse depends: colf

Released about 2 years ago.