Global Sensitivity Analysis

PumasQSP enables users to consider additional model exploration based on Global Sensitivity Analysis (GSA). This approach is helpful to further investigate how the model output reacts to variance in the model input. For example, we can analyse quantitatively how the variance in single input variables and how combinations of variances in several input variables affect output variables.

The gsa function

gsa(qsp::SensitivityProblem, method; samples, batch)