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 | d02178a4aebfe199ebb4dfa41985aa1c |
| arch | x86_64 |
| build | py38h06a4308_0 |
| constrains | pathos >=0.2.5 |
| depends | matplotlib-base >=3.2.2, multiprocess, numpy >=1.20.3, pandas >=1.1.2, python >=3.8,<3.9.0a0, scipy >=1.7.3 |
| license | MIT |
| license_family | MIT |
| md5 | d02178a4aebfe199ebb4dfa41985aa1c |
| name | salib |
| platform | linux |
| sha1 | 5665b23955998bd7edb2c8b5af613454cee23c90 |
| sha256 | 764a119818f8cf3120be199b764f3b7e7e5360188de147807f067851d843c21e |
| size | 1437602 |
| subdir | linux-64 |
| timestamp | 1692615563451 |
| version | 1.4.7 |