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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling source/ R- | gsaot_1.1.1.tar.gz |
1.9 MiB |
1.1.1 |
rolling linux/jammy R-4.5 | gsaot_1.1.1.tar.gz |
2.0 MiB |
1.1.1 |
rolling linux/noble R-4.5 | gsaot_1.1.1.tar.gz |
2.0 MiB |
1.1.1 |
latest source/ R- | gsaot_1.1.1.tar.gz |
1.9 MiB |
1.1.1 |
latest linux/jammy R-4.5 | gsaot_1.1.1.tar.gz |
2.0 MiB |
1.1.1 |
latest linux/noble R-4.5 | gsaot_1.1.1.tar.gz |
2.0 MiB |
1.1.1 |
2026-04-23 source/ R- | gsaot_1.1.1.tar.gz |
1.9 MiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | gsaot_1.1.1.zip |
2.3 MiB |
0.1.0 |
2025-04-20 source/ R- | gsaot_0.1.0.tar.gz |
199.9 KiB |