sensobol: Computation of Variance-Based Sensitivity Indices

It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.

Package details

AuthorArnald Puy [aut, cre] (<https://orcid.org/0000-0001-9469-2156>), Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments)
MaintainerArnald Puy <arnald.puy@pm.me>
LicenseGPL-3
Version1.1.5
URL https://github.com/arnaldpuy/sensobol
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sensobol")

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sensobol documentation built on May 29, 2024, 10:05 a.m.