Package: marqLevAlg
Type: Package
Title: A Parallelized General-Purpose Optimization Based on
        Marquardt-Levenberg Algorithm
Version: 2.0.2
Date: 2020-03-30
Author: Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Maintainer: Viviane Philipps <viviane.philipps@u-bordeaux.fr>
Depends: R (>= 3.5.0)
LazyLoad: yes
LazyData: true
Description: This algorithm provides a numerical solution to the
        problem of minimizing (or maximizing) a function. It is particularly suited for complex problems and more efficient than
        the Gauss-Newton-like algorithm when starting from points very
        far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. 
License: GPL (>= 2.0)
BugReports: http://github.com/VivianePhilipps/marqLevAlgParallel/issues
NeedsCompilation: yes
Imports: doParallel, foreach
Suggests: microbenchmark
RoxygenNote: 6.0.1
Packaged: 2020-03-30 12:54:32 UTC; vp3
Repository: CRAN
Date/Publication: 2020-03-30 15:40:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 06:31:15 UTC; windows
Archs: i386, x64
