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Simulation decomposition orSimDec is an uncertainty and sensitivityanalysis method, which is based on Monte Carlo simulation. SimDec consists ofthree major parts:

1. computing sensitivity indices,
2. creating multi-variable scenarios and mapping the output values to them, and
3. visualizing the scenarios on the output distribution by color-coding its segments.

SimDec reveals the nature of causalities and interaction effects in the model.See ourpublications and join ourdiscord community.

The library is distributed on PyPi and can be installed with:

pip install simdec

A live dashboard is available at:

https://simdec.io

The algorithms and visualizations used in this package came primarily out ofresearch at LUT University, Lappeenranta, Finland, and Stanford University,California, U.S., supported with grants from Business Finland, WihuriFoundation, and Finnish Foundation for Economic Education.

If you use SimDec in your research we would appreciate a citation to thefollowing publications:

• Kozlova, M., Moss, R. J., Yeomans, J. S., & Caers, J. (2024). Uncovering Heterogeneous Effects in Computational Models for Sustainable Decision-making.Environmental Modelling & Software, 171, 105898.https://doi.org/10.1016/j.envsoft.2023.105898
• Kozlova, M., Moss, R. J., Roy, P., Alam, A., & Yeomans, J. S. (2024). SimDec algorithm and guidelines for its usage and interpretation. In M. Kozlova & J. S. Yeomans (Eds.),Sensitivity Analysis for Business, Technology, and Policymaking. Made Easy with Simulation Decomposition. Routledge.Available here.