rapidrobustness 0.0.4

Calculations and analyses of robustness.

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 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, created by Jan Kwakkel.