nlsr (2019.9.7)

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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, optimx, knitr, rmarkdown, Deriv
Reverse depends: colf

Released 7 months ago.

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