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Package: gslnls | ||
Type: Package | ||
Title: GSL Multi-Start Nonlinear Least-Squares Fitting | ||
Version: 1.3.0 | ||
Date: 2024-04-24 | ||
Version: 1.3.1 | ||
Date: 2024-04-25 | ||
Authors@R: person("Joris", "Chau", email = "[email protected]", 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. Multi-start optimization based on quasi-random samples is implemented using a modified version of the 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 | ||
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