sensobol: Computation of High-Order Sobol' Sensitivity Indices

It allows to rapidly compute, bootstrap and plot up to third-order Sobol' indices using the estimators by Saltelli et al. 2010 <doi:10.1016/j.cpc.2009.09.018> and Jansen 1999 <doi:10.1016/S0010-4655(98)00154-4>. The 'sensobol' package also implements the algorithm by Khorashadi Zadeh et al. 2017 <doi:10.1016/j.envsoft.2017.02.001> to calculate the approximation error in the computation of Sobol' first and total indices, an approach that allows to robustly screen influential from non-influential model inputs. Finally, it also provides functions to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis.

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 <[email protected]>
LicenseGPL-3
Version0.2.1
URL http://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 Sept. 20, 2019, 5:02 p.m.