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minpack.lm (version 1.2-4)

R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds

Description

The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls-like calls using the nlsLM function.

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Install

install.packages('minpack.lm')

Monthly Downloads

25,613

Version

1.2-4

License

GPL-3

Maintainer

Katharine Mullen

Last Published

September 11th, 2023

Functions in minpack.lm (1.2-4)

nlsLM

Standard 'nls' framework that uses 'nls.lm' for fitting
wfct

Weighting function that can be supplied to the weights argument of nlsLM or nls
nls.lm.control

Control various aspects of the Levenberg-Marquardt algorithm
nls.lm

Addresses NLS problems with the Levenberg-Marquardt algorithm