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). The method is described in the article : Mangiarotti S. and Huc M. (2019) <doi:10.1063/1.5081448>.

Package overview 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 GPoM : General introduction GPoM : 1 Conventions GPoM : 2 PreProcessing GPoM : 3 Modelling GPoM : 4 Visualization of the outputs GPoM : 5 Models predictability GPoM : 6 Approach sensitivity GPoM : 7 Retro-modelling GPoM : General introduction

Vignettes Man pages API and functions Files

Package details
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@u-paris2.fr>
License	CeCILL-2
Version	1.4
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("GPoM")`