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 | Mon Mar 31 02:17:05 2025 |
| md5 checksum | 9f3c16f485d4210a42669181ed152d7c |
| arch | x86_64 |
| build | py39h06a4308_0 |
| constrains | pathos >=0.2.5 |
| depends | matplotlib-base >=3.2.2, multiprocess, numpy >=1.20.3,<2.0a0, pandas >=1.1.2, python >=3.9,<3.10.0a0, scipy >=1.7.3 |
| license | MIT |
| license_family | MIT |
| md5 | 9f3c16f485d4210a42669181ed152d7c |
| name | salib |
| platform | linux |
| sha1 | 408bab12274d8d121aec03dadfe48a26bbe3a02e |
| sha256 | b886ba9128ccaec51c54c03fdc1cbc8ac0e1dd7c224346d2532f799e1e6adb24 |
| size | 1438582 |
| subdir | linux-64 |
| timestamp | 1692615615003 |
| version | 1.4.7 |