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: 1.1
Depends: R (≥ 2.10), deSolve, rgl
Suggests: testthat, knitr, rmarkdown, signal, float
Published: 2018-01-18
Author: Sylvain Mangiarotti [aut], Flavie Le Jean [ctb], Malika Chassan [ctb], Laurent Drapeau [ctb], Mireille Huc [cre]
Maintainer: Mireille Huc <mireille.huc at cesbio.cnes.fr>
License: CeCILL-2
NeedsCompilation: no
CRAN checks: GPoM results

Downloads:

Reference manual: GPoM.pdf
Vignettes: GPoM : General introduction
GPoM : III Modelling
GPoM : II PreProcessing
GPoM : IV Visualization of the outputs
GPoM : I Generate
GPoM : VII Retro-modelling
GPoM : VI Models sensitivity
GPoM : V Models predictability
Package source: GPoM_1.1.tar.gz
Windows binaries: r-devel: GPoM_1.1.zip, r-release: GPoM_1.1.zip, r-oldrel: GPoM_1.1.zip
OS X El Capitan binaries: r-release: GPoM_1.1.tgz
OS X Mavericks binaries: r-oldrel: GPoM_1.0.tgz
Old sources: GPoM archive

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