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: 7.1.1
Packaged: 2023-03-22 10:39:53 UTC; vp3
Repository: CRAN
Date/Publication: 2023-03-22 14:00:05 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 03:26:05 UTC; unix
Archs: marqLevAlg.so.dSYM
