# sensobol: An R Package to Compute Variance-Based Sensitivity Indices

@inproceedings{Puy2022sensobolAR, title={sensobol: An R Package to Compute Variance-Based Sensitivity Indices}, author={Arnald Puy and Samuele Lo Piano and Andrea Saltelli and Simon A. Levin}, year={2022} }

The R package sensobol provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of sensitivity indices to the visual representation of the results. It implements several state-of-the-art ﬁrst and total-order estimators and allows the computation of up to third-order eﬀects, as well as of the approximation error, in a swift and user-friendly way. Its ﬂexibility makes it also appropriate for models with either a scalar or a multivariate output…

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