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 | 27f2996a54eb4495ba434b50a0229112 |
| arch | x86_64 |
| build | py312h06a4308_1 |
| build_number | 1 |
| constrains | pathos >=0.2.5 |
| depends | matplotlib-base >=3.2.2, multiprocess, numpy >=1.20.3,<2.0a0, pandas >=1.1.2, python >=3.12,<3.13.0a0, scipy >=1.7.3 |
| license | MIT |
| license_family | MIT |
| md5 | 27f2996a54eb4495ba434b50a0229112 |
| name | salib |
| platform | linux |
| sha1 | 26f71c53ad5c469a366615bf7c652b5e09ff8173 |
| sha256 | a0486bc8314b320d6309de2eeecd7ff55d7b645bf544a7c371179e3a3db894b5 |
| size | 1402983 |
| subdir | linux-64 |
| timestamp | 1698901056923 |
| version | 1.4.7 |