Download the notebook here! Interactive online version:

Qualitative sensitivity analysis

We showcase the use of econsa for qualitative sensitivity analysis.

# from temfpy.uncertainty_quantification import simple_linear_function,
from econsa.morris import elementary_effects  # noqa: F401
import numpy as np

# This is an example where we extracted the sampling from the
# function to compute the elementary effects.
input_parameters = np.random.normal(size=(100, 4))
n_draws, cov = 100, np.identity(3)

# TODO: This requires some more work to set up.
# rslt = elementary_effects(simple_linear_function, input_parameters, cov, n_draws)