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.

Version: 2018.1.28
Depends: R (≥ 3.0)
Imports: digest
Suggests: minpack.lm, optimr, Rvmmin, Rcgmin, numDeriv, knitr, rmarkdown, Ryacas, Deriv
Published: 2018-01-31
Author: John C Nash [aut, cre], Duncan Murdoch [aut]
Maintainer: John C Nash <nashjc at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: Optimization
CRAN checks: nlsr results


Reference manual: nlsr.pdf
Vignettes: Specifying Fixed Parameters
nlsr Derivatives
nlsr Background, Development, Examples and Discussion
Package source: nlsr_2018.1.28.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: nlsr_2018.1.28.tgz
OS X Mavericks binaries: r-oldrel: nlsr_2017.10.4.tgz
Old sources: nlsr archive

Reverse dependencies:

Reverse depends: colf
Reverse imports: usl


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