gsaot: Compute Global Sensitivity Analysis Indices Using OptimalTransport
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.
| Version: | 1.1.1 |
| Imports: | boot,ggplot2,patchwork (≥ 1.2.0),Rcpp,RcppEigen (≥0.3.4.0.0),Rdpack (≥ 2.4), stats,transport (≥ 0.15.0) |
| LinkingTo: | Rcpp,RcppEigen |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-09-17 |
| DOI: | 10.32614/CRAN.package.gsaot |
| Author: | Leonardo Chiani [aut, cre, cph], Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev] |
| Maintainer: | Leonardo Chiani <leonardo.chiani at polimi.it> |
| BugReports: | https://github.com/pietrocipolla/gsaot/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/pietrocipolla/gsaot,https://pietrocipolla.github.io/gsaot/ |
| NeedsCompilation: | yes |
| Citation: | gsaot citation info |
| Materials: | README,NEWS |
| CRAN checks: | gsaot results |
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