nls.multstart: Robust Non-Linear Regression using AIC Scores

Non-linear least squares regression with the Levenberg-Marquardt algorithm using multiple starting values for increasing the chance that the minimum found is the global minimum.

Version:	2.0.0
Depends:	R (≥ 3.2.1)
Imports:	minpack.lm, purrr, dplyr, tidyr, tibble, lhs, cli, rlang
Suggests:	ggplot2, broom, nlstools, testthat
Published:	2025-01-09
Author:	Daniel Padfield [aut, cre], Granville Matheson [aut], Francis Windram [aut]
Maintainer:	Daniel Padfield <d.padfield at exeter.ac.uk>
License:	GPL-3
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	nls.multstart results

Documentation:

Reference manual:

nls.multstart.pdf

Downloads:

Package source:	nls.multstart_2.0.0.tar.gz
Windows binaries:	r-devel: nls.multstart_1.3.0.zip, r-release: nls.multstart_1.3.0.zip, r-oldrel: nls.multstart_1.3.0.zip
macOS binaries:	r-release (arm64): nls.multstart_2.0.0.tgz, r-oldrel (arm64): nls.multstart_2.0.0.tgz, r-release (x86_64): nls.multstart_2.0.0.tgz, r-oldrel (x86_64): nls.multstart_2.0.0.tgz
Old sources:	nls.multstart archive

Reverse dependencies:

Reverse depends:	changeS
Reverse imports:	FertBoot, gcxgclab
Reverse suggests:	rTPC

Linking:

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