The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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_1.3.0.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_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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nls.multstart to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.