CRAN/E | GPoM

GPoM

Generalized Polynomial Modelling

Installation

About

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).

Key Metrics

Version 1.3
R ≥ 3.6
Published 2020-02-18 1532 days ago
Needs compilation? no
License CeCILL-2
CRAN checks GPoM results

Downloads

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Maintainer

Maintainer

Mireille Huc

mireille.huc@cesbio.cnes.fr

Authors

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

Material

Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GPoM archive

Depends

R ≥ 3.6
deSolve
rgl

Imports

float

Suggests

signal
knitr
rmarkdown

Reverse Depends

GPoM.FDLyapu