Methods supported are

• Probabilistic: Computes correlation measures and the first order sensitivy index (EASI) using random (Monte Carlo or Latin Hyper cube) samples from probability distributions on the model parameters.
• Sobol custom order: Computes a custom order as well as first and total order sensitivity index.
• Sobol group indices: Computes the first and total order sensitivity index of each selected parameter or groups of parameters.
• Extended Fourier Amplitude Sensitivity Test (EFAST). Computes the first and total sensitivity index of each selected parameter or groups of parameters.
• Fourier Amplitude Sensitivity Test (FAST). Computes the first order sensitivity index of each selected parameter.
• Local Sensitivity Analysis
• Random Balance Design (RBD)
• Deterministic: Simply computes each model output at the scalar parameter values.
• Simulation Table: Computes correlation measures and the first order sensitivity index (EASI) using tabulated parameter values.