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.


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Reference manual

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install.packages("nlsr")

2017.10.4 by John C Nash, 2 months ago


Browse source code at https://github.com/cran/nlsr


Authors: John C Nash [aut, cre], Duncan Murdoch [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports digest

Suggests minpack.lm, optimr, Rvmmin, Rcgmin, numDeriv, knitr, rmarkdown, Ryacas, Deriv


Imported by usl.

Depended on by colf.


See at CRAN