TY - JOUR AU - Puy, Arnald AU - Lo Piano, Samuele AU - Saltelli, Andrea AU - Levin, Simon A. PY - 2022/04/30 Y2 - 2024/03/28 TI - sensobol: An R Package to Compute Variance-Based Sensitivity Indices JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 102 IS - 5 SE - Articles DO - 10.18637/jss.v102.i05 UR - https://www.jstatsoft.org/index.php/jss/article/view/v102i05 SP - 1 - 37 AB - <p>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 fourth-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. We illustrate its functionality by conducting a variance-based sensitivity analysis of three classic models: the Sobol' (1998) G function, the logistic population growth model of Verhulst (1845), and the spruce budworm and forest model of Ludwig, Jones, and Holling (1976).</p> ER -