| GSAtool {GSA.UN} | R Documentation |
Global Sensitivity Analysis tool
Description
This function performs the global sensitivity analysis starting from the gross results of the model.
Usage
GSAtool(
parameters_set,
out_set,
pp_names,
steps = 100,
save = FALSE,
dir = NULL
)
Arguments
parameters_set |
matrix of dimensions n x pp, where n is the number of runs and pp is the number of parameters. |
out_set |
matrix of dimensions n x t, where n is the number of runs and t is the number of temporary steps. |
pp_names |
a strings vector with the names of the parameters of the model |
steps |
number of divisions of the parametric range. |
save |
T to save the results in .csv files, by default save=F. |
dir |
a directory to save the results |
Value
a list containing two outputs: SOBOL and AMA indices.
Author(s)
Camila Garcia-Echeverri <cagarciae@unal.edu.co>
Maria Cristina Areas-Bautista <mcarenasb@unal.edu.co>
Hydrodynamics of the natural media research group - HYDS National University of Colombia - Bogota
References
Dell’Oca, A., Riva, M., & Guadagnini, A. (2017). Moment-based metrics for global sensitivity analysis of hydrological systems. Hydrology and Earth System Sciences, 21(12), 6219–6234. https://doi.org/10.5194/hess-21-6219-2017
Sobol, I. M. (2001). Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Mathematics and Computers in Simulation, 55(1–3), 271–280. https://doi.org/10.1016/S0378-4754(00)00270-6
Examples
data("parameters_set", "out_set", "pp_names")
GSA_results <- GSAtool(parameters_set, out_set, pp_names, steps = 15, save=FALSE)