Package: marqLevAlg
Type: Package
Title: A Parallelized General-Purpose Optimization Based on
        Marquardt-Levenberg Algorithm
Version: 2.0.8
Date: 2023-03-22
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,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, 2021 <doi:10.32614/RJ-2021-089>.
License: GPL (>= 2.0)
BugReports: https://github.com/VivianePhilipps/marqLevAlgParallel/issues
Imports: doParallel, foreach
VignetteBuilder: knitr
NeedsCompilation: yes
RoxygenNote: 7.2.1
Repository: https://vivianephilipps.r-universe.dev
Date/Publication: 2023-10-05 08:30:18 UTC
RemoteUrl: https://github.com/vivianephilipps/marqlevalgparallel
RemoteRef: HEAD
RemoteSha: 05f77602463ada72b43f8af1cfc79539d52e1976
Packaged: 2026-06-24 11:46:28 UTC; root