Metadata-Version: 2.1
Name: rapidrobustness
Version: 0.0.2
Summary: Calculations and analyses of robustness.
Home-page: https://github.com/cameronmcphail/RAPID
Author: Cameron McPhail
Author-email: cameron.mcphail@adelaide.edu.au
License: UNKNOWN
Description: # RAPID - Robustness Analysis Producing Intelligent Decisions
        The RAPID software package enables the generic guidance framework introduced in McPhail et al. (soon to be published) (see reference below) to be implemented in a user-friendly and consistent manner, including functionality to guide the user through the process of creating a custom robustness metric.
        McPhail, C., Maier, H.R., Westra, S., van der Linden, L., Kwakkel, J.H. (to be published). Guidance framework and software for understanding and achieving system robustness.
        
        ## Getting started
        ### Prerequisites
        Python 3.x
        
        ### Installing
        This software package can be installed from PyPI
        ```
        pip install rapidrobustness
        ```
        
        ## Authors
        * **Cameron McPhail** - *Initial development of package*
        
        ## License
        This project is licensed under the MIT license - see the [LICENSE](LICENSE) file for details.
        
        ## Acknowledgements
        * Supervisors and co-authors who contributed to Cameron McPhail's PhD (and therefore the concepts underpinning this package): Holger Maier, Seth Westra, and Leon van der Linden.
        * Co-authors from several papers which were created prior to this package: Andrea Casttelletti, Matteo Giuliani, and Jan Kwakkel.
        * Inspiration for this package was drawn from the [EMA Workbench](https://github.com/quaquel/EMAworkbench), created by Jan Kwakkel.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
