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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