Enhancing Morris Method: Returning Sensitivity Indices for Resampling Analysis

[kerained]

Hello,
To facilitate the analysis of resampling results in Morris method, it would be beneficial to add the functionality to return sensitivity indices for each resample. Similar to the "Keep resamples" feature in Sobol' method that allows storing and returning the first-order and total-effect sensitivity indices for each resample, a similar update would enhance the Morris method.

By adding this capability, researchers can access and analyze the sensitivity indices obtained from each individual resample. This would enable further investigation of the variation between resamples through external experiments and analyses. For instance, it would be possible to examine the differences in ranking results across all resamples.

Implementing this enhancement in Morris method would provide users with more comprehensive insights into the sensitivity analysis process and allow for a more thorough evaluation of the impact of different resampling iterations. It would be valuable for researchers seeking to gain a deeper understanding of the robustness and reliability of their sensitivity analysis results.

If such an update is implemented, it would enhance the functionality and flexibility of the Morris method, providing users with the ability to analyze and interpret the sensitivity indices obtained from each resample.

[ConnectedSystems]

I think this is possible to include, but it would be a while if I were the one doing it. Are you interested in submitting a PR with the necessary changes?

[kerained]

@ConnectedSystems Thank you for your reply! My code ability is weak and I may not be able to provide it at the moment! I am a graduate student and I am raising this question because I am currently using the SALib library for GSA. If the Morris method can be improved, it can provide many benefits to users. Thank you again for your reply！