Package: gslnls
Type: Package
Title: GSL Nonlinear Least-Squares Fitting
Version: 1.1.2
Date: 2023-01-17
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. 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: GPL-3
SystemRequirements: GSL (>= 2.2)
RoxygenNote: 7.2.0
NeedsCompilation: yes
Packaged: 2023-01-17 10:31:13 UTC; jchau
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>
Repository: CRAN
Date/Publication: 2023-01-17 15:20:05 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2023-01-17 15:29:35 UTC; unix
Archs: gslnls.so.dSYM
