{ "_id": "6a1fe1d5b401979e7343a02e", "Package": "sensobol", "Title": "Computation of Variance-Based Sensitivity Indices", "Version": "1.1.9", "Authors@R": "c(person(given = \"Arnald\", \nfamily = \"Puy\",\nrole = c(\"aut\", \"cre\"),\nemail = \"arnald.puy@pm.me\",\ncomment = c(ORCID = \"https://orcid.org/0000-0001-9469-2156\")),\nperson(\"Bertrand\", \"Ioos\",\nrole = \"ctb\",\ncomment = \"Author of included 'sensitivity' fragments\"),\nperson(\"Gilles\", \"Pujol\",\nrole = \"ctb\",\ncomment = \"Author of included 'sensitivity' fragments\"),\nperson(\"RStudio\",\nrole = \"cph\",\ncomment = \"Copyright holder of included 'sensitivity' fragments\"))", "Maintainer": "Arnald Puy ", "Description": "It allows to rapidly compute, bootstrap and plot up to\nfourth-order Sobol'-based sensitivity indices using several\nstate-of-the-art first and total-order estimators. Sobol'\nindices can be computed either for models that yield a scalar\nas a model output or for systems of differential equations. The\npackage also provides a suit of benchmark tests functions and\nseveral options to obtain publication-ready figures of the\nmodel output uncertainty and sensitivity-related analysis. An\noverview of the package can be found in Puy et al. 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