sensitivity

Dependency to the SAlib python package Iwanaga, T., Usher, W., & Herman, J. (2022). Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses. Socio-Environmental Systems Modelling, 4, 18155. doi:10.18174/sesmo.18155 Herman, J. and Usher, W. (2017) SALib: An open-source Python library for sensitivity analysis. Journal of Open Source Software, 2(9). doi:10.21105/joss.00097

Functions

analysis_Morris(morris_problem, obs_data, ...)
define_Morris()	morris_problem = { # There are six variables 'num_vars': 2, # These are their names 'names': ['PERMX', 'POROS' ], # Plausible ranges over which we'll move the variables 'bounds': [[1e-5, 1e-3], # Ks [0.4, 0.6], # porosity ], # I don't want to group any of these variables together 'groups': None }
df_Morris(morris_problem, ref_parms)
err_weighted_rmse(sim, obs, noise)
plot_Morris()
print_Morris_out(morris_problem)
run_sensitivity_analysis(prj_name)
samples_generation([number_of_trajectories, ...])