{ "_id": "6a213079cd65a98ecbd24da7", "Package": "GPoM", "Type": "Package", "Title": "Generalized Polynomial Modelling", "Version": "1.4", "Date": "2023-06-16", "Authors@R": "c(\nperson(\"Sylvain\", \"Mangiarotti\", email = \"sylvain.mangiarotti@cesbio.cnes.fr\",role = c(\"aut\")),\nperson(\"Mireille\", \"Huc\", email = \"mireille.huc@u-paris2.fr\", role = c(\"cre\",\"aut\")),\nperson(\"Flavie\", \"Le Jean\",role = c(\"ctb\")),\nperson(\"Malika\", \"Chassan\",role = c(\"ctb\")),\nperson(\"Laurent\", \"Drapeau\",role = c(\"ctb\")),\nperson(\"Institut de Recherche pour le Développement\", role =\"fnd\"),\nperson(\"Centre National de la Recherche Scientifique\", role =\"fnd\")\n)", "Maintainer": "Mireille Huc ", "Description": "Platform dedicated to the Global Modelling technique. Its\naim is to obtain ordinary differential equations of polynomial\nform directly from time series. It can be applied to single or\nmultiple time series under various conditions of noise, time\nseries lengths, sampling, etc. This platform is developped at\nthe Centre d'Etudes Spatiales de la Biosphere (CESBIO), UMR\n5126 UPS/CNRS/CNES/IRD, 18 av. Edouard Belin, 31401 TOULOUSE,\nFRANCE. The developments were funded by the French program Les\nEnveloppes Fluides et l'Environnement (LEFE, MANU, projets\nGloMo, SpatioGloMo and MoMu). The French program Defi InFiNiTi\n(CNRS) and PNTS are also acknowledged (projects Crops'IChaos\nand Musc & SlowFast). The method is described in the article :\nMangiarotti S. and Huc M. 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