{"id":16457352,"url":"https://github.com/connectedsystems/diagnostic-sa","last_synced_at":"2026-06-08T22:31:27.552Z","repository":{"id":115501938,"uuid":"314438244","full_name":"ConnectedSystems/diagnostic-sa","owner":"ConnectedSystems","description":"Examples for the diagnostic sensitivity analysis paper","archived":false,"fork":false,"pushed_at":"2020-12-11T07:18:22.000Z","size":7159,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-10-12T10:30:28.001Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\nCompanion code for a paper showcasing property-based sensitivity analysis as a useful approach in model development and quality assurance.\n\n\n# Setup\n\nClone the necessary repositories\n\n```bash\n$ git clone https://github.com/ConnectedSystems/diagnostic-sa.git\n$ git clone https://github.com/ConnectedSystems/SALib.git --branch radial-oat-method --single-branch salib-roat \n```\n\nCreate conda environment (the specification for Windows platforms is provided)\n\n```bash\n$ conda create --name \u003cenv\u003e --file win_env.yml\n```\n\nInstall as a locally editable package\n\n```bash\n$ cd diagnostic-sa\n$ pip install -e .\n$ cd ..\n$ cd salib-roat\n$ pip install -e .\n```\n\nFull instructions as above:\n\n```bash\n$ git clone https://github.com/ConnectedSystems/diagnostic-sa.git\n$ git clone https://github.com/ConnectedSystems/SALib.git --branch radial-oat-method --single-branch salib-roat \n\n# Replace environment name with your own\n$ conda create --name \u003cenv\u003e --file win_env.yml\n\n$ cd diagnostic-sa\n$ pip install -e .\n$ cd ../salib-roat\n$ pip install -e .\n$ cd ..\n```\n\n# Structure\n\nThe main set of code is found in the `diagnostic_sa` directory.\n\nThese are:\n* li_2010.py\n\n  Example implementations of the linear function taken from [Li et al., (2010)](https://doi.org/10.1021/jp9096919)\n\n* li_2010_diagnostic_morris_incorrect.py\n\nAnalysis of the incorrectly implemented model\n\n* li_2010_diagnostic_morris_inactive.py\n\nAnalysis of the model with an inactive parameter\n\n\nTests intended for use with the `pytest` framework is found in `tests/test_li.py`.\n\nThese produce the error messages as shown in the paper.\n\nCode and analysis from an earlier revision is included here as currently the [Open Science Framework](https://osf.io) cannot associate multiple repositories associated with a project.\n\nThese produce the figures included in Appendix A.\n\nThe original repository may be found [here](https://github.com/ConnectedSystems/oat-use).\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconnectedsystems%2Fdiagnostic-sa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fconnectedsystems%2Fdiagnostic-sa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconnectedsystems%2Fdiagnostic-sa/lists"}