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 02:17:04 2025 |
| md5 checksum | fe799c86edf6223b71448b6ee88ba246 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| constrains | pathos >=0.2.5 |
| depends | matplotlib-base >=3.2.2, multiprocess, numpy >=1.20.3,<2.0a0, pandas >=1.1.2, python >=3.10,<3.11.0a0, scipy >=1.7.3 |
| license | MIT |
| license_family | MIT |
| md5 | fe799c86edf6223b71448b6ee88ba246 |
| name | salib |
| platform | linux |
| sha1 | 116f612794674689ff7cc46694a1813925a2ebb4 |
| sha256 | 6f7b2319ead4355c478fa26c78e6cad03970076ea585556e9b141cfb7124d9a6 |
| size | 1441136 |
| subdir | linux-64 |
| timestamp | 1692615705786 |
| version | 1.4.7 |