Package: gslnls
Type: Package
Title: GSL Nonlinear Least-Squares Fitting
Version: 1.2.0
Date: 2023-12-09
Authors@R: person("Joris", "Chau", email = "joris.chau@openanalytics.eu", role = c("aut", "cre"))
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.
BugReports: https://github.com/JorisChau/gslnls/issues
URL: https://github.com/JorisChau/gslnls
Depends: R (>= 3.5)
Imports: stats, Matrix
Encoding: UTF-8
Language: en-US
License: LGPL-3
SystemRequirements: GSL (>= 2.2)
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-12-10 20:46:53 UTC; jchau
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>
Repository: CRAN
Date/Publication: 2023-12-11 07:40:06 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-12-11 09:52:57 UTC; unix
Archs: gslnls.so.dSYM
