Figure 1
GitHub repository structure of the Python DGSA package. Data folder contains example dataset, notebooks folder provides two Jupyter notebooks to illustrate usage, example results are saved in the results folder, all source codes are included in the src folder, and the tests folder supports pytest functionality. Single files including CONTRIBUTING.md, LICENSE, pyproject.toml, and README.md provide information on collaboration, license, installation, and general instructions.
Figure 2
DGSA workflow implemented in the computation and visualization Jupyter notebooks. These two notebooks use an example dataset to illustrate the procedure of performing DGSA.
Figure 3
Comparison of single parameter sensitivity using the L1-norm method between the MATLAB (top) and Python (bottom) versions. The CCC for this comparison is 0.9997, which demonstrates that the Python version produces similar sensitivity measures to the MATLAB version.
Figure 4
Comparison of conditional parameter sensitivity using the ASL method between the MATLAB (top) and Python (bottom) versions. The CCC for this comparison is 0.9875, which demonstrates that the Python version produces similar sensitivity measures to the MATLAB version.