sensobol: An R Package to Compute Variance-Based Sensitivity Indices
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2022-04-01
|
| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/4353 |
| _version_ | 1827935811498147840 |
|---|---|
| author | Arnald Puy Samuele Lo Piano Andrea Saltelli Simon A. Levin |
| author_facet | Arnald Puy Samuele Lo Piano Andrea Saltelli Simon A. Levin |
| author_sort | Arnald Puy |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-03-13T08:00:13Z |
| format | Article |
| id | doaj.art-8405971936d849538c8f3a7496849043 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-03-13T08:00:13Z |
| publishDate | 2022-04-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-8405971936d849538c8f3a74968490432023-06-01T18:48:04ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602022-04-0110213710.18637/jss.v102.i054119sensobol: An R Package to Compute Variance-Based Sensitivity IndicesArnald Puy0https://orcid.org/0000-0001-9469-2156Samuele Lo Piano1https://orcid.org/0000-0002-2625-483XAndrea Saltelli2https://orcid.org/0000-0003-4222-6975Simon A. Levin3https://orcid.org/0000-0002-8216-5639Princeton UniversityUniversity of ReadingUPF Barcelona School of ManagementPrinceton UniversityThe 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).https://www.jstatsoft.org/index.php/jss/article/view/4353uncertaintysensitivitymodelingecology |
| spellingShingle | Arnald Puy Samuele Lo Piano Andrea Saltelli Simon A. Levin sensobol: An R Package to Compute Variance-Based Sensitivity Indices Journal of Statistical Software uncertainty sensitivity modeling ecology |
| title | sensobol: An R Package to Compute Variance-Based Sensitivity Indices |
| title_full | sensobol: An R Package to Compute Variance-Based Sensitivity Indices |
| title_fullStr | sensobol: An R Package to Compute Variance-Based Sensitivity Indices |
| title_full_unstemmed | sensobol: An R Package to Compute Variance-Based Sensitivity Indices |
| title_short | sensobol: An R Package to Compute Variance-Based Sensitivity Indices |
| title_sort | sensobol an r package to compute variance based sensitivity indices |
| topic | uncertainty sensitivity modeling ecology |
| url | https://www.jstatsoft.org/index.php/jss/article/view/4353 |
| work_keys_str_mv | AT arnaldpuy sensobolanrpackagetocomputevariancebasedsensitivityindices AT samuelelopiano sensobolanrpackagetocomputevariancebasedsensitivityindices AT andreasaltelli sensobolanrpackagetocomputevariancebasedsensitivityindices AT simonalevin sensobolanrpackagetocomputevariancebasedsensitivityindices |