gsaot
1.1.1Compute Global Sensitivity Analysis Indices Using Optimal Transport
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Overview
About
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.
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13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
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- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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gsaot
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License GPL-3.0 · 87 commits · Last activity 2026-05-09
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Checks run against github.com/pietrocipolla/gsaot on 2026-07-19.
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Package metadata
- First published
- 2025-01-10
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet