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: 1.3.0
Depends: R (≥ 3.2.1)
Imports: minpack.lm, purrr, dplyr, tidyr, tibble
Suggests: ggplot2, broom, nlstools, testthat
Published: 2023-08-15
DOI: 10.32614/CRAN.package.nls.multstart
Author: Daniel Padfield [aut, cre], Granville Matheson [aut]
Maintainer: Daniel Padfield <d.padfield at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: nls.multstart results


Reference manual: nls.multstart.pdf


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

Reverse dependencies:

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


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