Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest.
| Uploaded | Tue Apr 1 00:02:44 2025 |
| md5 checksum | 826f0906ca1d65f2f86374ec7d9fc648 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| constrains | pathos >=0.2.5 |
| depends | matplotlib-base >=3.2.2, multiprocess, numpy >=1.20.3,<2.0a0, pandas >=1.1.2, python >=3.11,<3.12.0a0, scipy >=1.7.3 |
| license | MIT |
| license_family | MIT |
| md5 | 826f0906ca1d65f2f86374ec7d9fc648 |
| name | salib |
| platform | linux |
| sha1 | 41a4059b9d27d492f4b81b5dee44b4338aae7ed8 |
| sha256 | 83fd20c289d3b30c2f4bc901c7cd48f0a0b4bf011fe37c2ccac69909b5d7699b |
| size | 1473946 |
| subdir | linux-64 |
| timestamp | 1692615660197 |
| version | 1.4.7 |