GPoM: Generalized Polynomial Modelling
Platform dedicated to the Global Modelling technique. Its aim
is to obtain ordinary differential equations of polynomial form directly
from time series. It can be applied to single or multiple time series under
various conditions of noise, time series lengths, sampling, etc. This platform
is developped at the Centre d'Etudes Spatiales de la Biosphere (CESBIO),
UMR 5126 UPS/CNRS/CNES/IRD, 18 av. Edouard Belin, 31401 TOULOUSE, FRANCE.
The developments were funded by the French program Les Enveloppes Fluides
et l'Environnement (LEFE, MANU, projets GloMo, SpatioGloMo and MoMu). The
French program Defi InFiNiTi (CNRS) and PNTS are also acknowledged (projects
Crops'IChaos and Musc & SlowFast).
| Version: |
1.3 |
| Depends: |
R (≥ 3.6), deSolve, rgl |
| Imports: |
float |
| Suggests: |
signal, knitr, rmarkdown |
| Published: |
2020-02-18 |
| Author: |
Sylvain Mangiarotti [aut],
Mireille Huc [cre, aut],
Flavie Le Jean [ctb],
Malika Chassan [ctb],
Laurent Drapeau [ctb],
Institut de Recherche pour le Développement [fnd],
Centre National de la Recherche Scientifique [fnd] |
| Maintainer: |
Mireille Huc <mireille.huc at cesbio.cnes.fr> |
| License: |
CeCILL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
GPoM results |
Documentation:
Downloads:
Reverse dependencies:
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