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.
|Author||John C Nash [aut, cre], Duncan Murdoch [aut]|
|Date of publication||2017-10-05 16:31:53 UTC|
|Maintainer||John C Nash <[email protected]>|
|Package repository||View on CRAN|
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