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gsaot: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Getting started
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Package details |
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| Author | Leonardo Chiani [aut, cre, cph] (<https://orcid.org/0009-0007-2491-6290>), Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev] |
| Maintainer | Leonardo Chiani <leonardo.chiani@polimi.it> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://github.com/pietrocipolla/gsaot https://pietrocipolla.github.io/gsaot/ |
| Package repository | View on CRAN |
| Installation |
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