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: 1.0.0
Depends: R (≥ 3.2.1)
Imports: minpack.lm, purrr, dplyr, tidyr, tibble
Suggests: ggplot2, broom, nlstools, testthat
Published: 2018-03-06
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

Downloads:

Reference manual: nls.multstart.pdf
Package source: nls.multstart_1.0.0.tar.gz
Windows binaries: r-prerel: nls.multstart_1.0.0.zip, r-release: nls.multstart_1.0.0.zip, r-oldrel: nls.multstart_1.0.0.zip
OS X binaries: r-prerel: nls.multstart_1.0.0.tgz, r-release: nls.multstart_1.0.0.tgz

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