CRAN/E | nlmrt

nlmrt

Functions for Nonlinear Least Squares Solutions

Installation

About

Replacement for nls() tools for working with nonlinear least squares problems. The calling structure is similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding 'singular gradient' messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.

Key Metrics

Version 2016.3.2
R ≥ 2.15.0
Published 2016-03-04 3064 days ago
Needs compilation? no
License GPL-2
CRAN checks nlmrt results

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Maintainer

Maintainer

John C. Nash

Authors

John C. Nash

aut / cre

Material

NEWS
Reference manual
Package source

In Views

Optimization

Vignettes

nlmrt Tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nlmrt archive

Depends

R ≥ 2.15.0

Suggests

minpack.lm
optimx
Rvmmin
Rcgmin
numDeriv

Reverse Imports

beezdemand