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gslnls  

GSL Multi-Start Nonlinear Least-Squares Fitting
View on CRAN: Click here


Download and install gslnls package within the R console
Install from CRAN:
install.packages("gslnls")

Install from Github:
library("remotes")
install_github("cran/gslnls")

Install by package version:
library("remotes")
install_version("gslnls", "1.4.1")



Attach the package and use:
library("gslnls")
Maintained by
Joris Chau
[Scholar Profile | Author Map]
First Published: 2021-10-07
Latest Update: 2023-01-17
Description:
An R interface to nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. The interface includes multi-start optimization using quasi-random samples based on a modified version of algorithm in Hickernell and Yuan (1997, OR Transactions). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
How to cite:
Joris Chau (2021). gslnls: GSL Multi-Start Nonlinear Least-Squares Fitting. R package version 1.4.1, https://cran.r-project.org/web/packages/gslnls. Accessed 14 May. 2025.
Previous versions and publish date:
1.0.0 (2021-10-07 18:10), 1.0.1 (2021-10-11 09:40), 1.0.2 (2021-10-13 13:20), 1.1.0 (2021-11-26 17:40), 1.1.1 (2021-12-13 12:10), 1.1.2 (2023-01-17 16:20), 1.2.0 (2023-12-11 08:40), 1.3.0 (2024-04-24 19:20), 1.3.2 (2024-05-01 16:02), 1.4.0 (2025-01-16 23:10)
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Complete documentation for gslnls
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