gslnls: GSL Nonlinear Least-Squares Fitting

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. 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.

Getting started

Package details

AuthorJoris Chau [aut, cre]
MaintainerJoris Chau <joris.chau@openanalytics.eu>
LicenseGPL-3
Version1.1.2
URL https://github.com/JorisChau/gslnls
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gslnls")

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gslnls documentation built on Jan. 17, 2023, 5:15 p.m.