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 |
| Reference manual: | GPoM.pdf |
| Vignettes: |
GPoM : General introduction GPoM : 1 Conventions GPoM : 2 PreProcessing GPoM : 3 Modelling GPoM : 4 Visualization of the outputs GPoM : 5 Models predictability GPoM : 6 Models sensitivity GPoM : 7 Retro-modelling |
| Package source: | GPoM_1.3.tar.gz |
| Windows binaries: | r-devel: GPoM_1.3.zip, r-release: GPoM_1.3.zip, r-oldrel: GPoM_1.3.zip |
| macOS binaries: | r-release: GPoM_1.3.tgz, r-oldrel: GPoM_1.3.tgz |
| Old sources: | GPoM archive |
| Reverse depends: | GPoM.FDLyapu |
Please use the canonical form https://CRAN.R-project.org/package=GPoM to link to this page.