Package: gslnls 1.3.3

gslnls: GSL Multi-Start 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. 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.

Authors:Joris Chau [aut, cre]

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Bug tracker:https://github.com/jorischau/gslnls/issues

On CRAN:

gnu-scientific-librarygsllevenberg-marquardtmulti-startnonlinear-least-squaresnonlinear-regression

6 exports 13 stars 2.24 score 2 dependencies 1 dependents 27 scripts 1.3k downloads

Last updated 4 months agofrom:3df1e460ec. Checks:OK: 9. Indexed: yes.

Exports:confintdgsl_nlsgsl_nls_controlgsl_nls_largenls_test_listnls_test_problem

Dependencies:latticeMatrix