Package: marqLevAlg
Type: Package
Title: A Parallelized General-Purpose Optimization Based on
        Marquardt-Levenberg Algorithm
Version: 2.0.5
Date: 2021-03-30
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)
Suggests:
        microbenchmark,knitr,rmarkdown,rticles,ggplot2,viridis,patchwork,xtable
LazyLoad: yes
LazyData: true
Description: This algorithm provides a numerical solution to the
        problem of unconstrained local minimization (or maximization). 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. See Philipps et al, 2020 <arXiv:2009.03840>.
License: GPL (>= 2.0)
BugReports: https://github.com/VivianePhilipps/marqLevAlgParallel/issues
Imports: doParallel, foreach
VignetteBuilder: knitr
NeedsCompilation: yes
RoxygenNote: 7.1.1
Packaged: 2021-04-01 16:58:55 UTC; vp3
Repository: CRAN
Date/Publication: 2021-04-01 18:30:02 UTC
