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: | 1.2.0 |
| Depends: | R (≥ 3.2.1) |
| Imports: | minpack.lm, purrr, dplyr, tidyr, tibble |
| Suggests: | ggplot2, broom, nlstools, testthat |
| Published: | 2020-09-18 |
| 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 |
| Reference manual: | nls.multstart.pdf |
| Package source: | nls.multstart_1.2.0.tar.gz |
| Windows binaries: | r-devel: nls.multstart_1.2.0.zip, r-release: nls.multstart_1.2.0.zip, r-oldrel: nls.multstart_1.2.0.zip |
| macOS binaries: | r-release (arm64): nls.multstart_1.2.0.tgz, r-oldrel (arm64): nls.multstart_1.2.0.tgz, r-release (x86_64): nls.multstart_1.2.0.tgz, r-oldrel (x86_64): nls.multstart_1.2.0.tgz |
| Old sources: | nls.multstart archive |
| Reverse imports: | FertBoot |
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