SOBOL: SOBOL indices
In cagarciae/GSA.UN: Global Sensitivity Analysis Tool
SOBOL R Documentation
SOBOL indices
Description
This function calculates the first order and total SOBOL indices.
Usage
SOBOL(data_var, CM_mean, CM_var, pp_names)
Arguments
data_var
a vector containing the variance of the model output for each
modelling time step.
CM_mean
An array containing the conditional mean of each parameter of
the model. This array has dimensions of steps x t x pp, where steps is the
number of divisions of the parametric range, t is the number of temporary steps
and pp the number of parameters of the model.
CM_var
An array containing the conditional variance of each parameter of
the model. This array has dimensions of steps x t x pp, where steps is the
number of divisions of the parametric range, t is the number of temporary steps
and pp the number of parameters of the model.
pp_names
a strings vector with the names of the parameters of the model.
Value
a list containing two matrices. The first contains the first order sobol, the
second sobol_total.
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
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("data_Bstat", "CM", "pp_names")
SOBOL_indices <- SOBOL(data_Bstat[,3], CM$CM_mean, CM$CM_var , pp_names)
cagarciae/GSA.UN documentation built on Aug. 25, 2022, 11:55 p.m.
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| SOBOL | R Documentation |
SOBOL indices
Description
This function calculates the first order and total SOBOL indices.
Usage
SOBOL(data_var, CM_mean, CM_var, pp_names)
Arguments
data_var |
a vector containing the variance of the model output for each modelling time step. |
CM_mean |
An array containing the conditional mean of each parameter of the model. This array has dimensions of steps x t x pp, where steps is the number of divisions of the parametric range, t is the number of temporary steps and pp the number of parameters of the model. |
CM_var |
An array containing the conditional variance of each parameter of the model. This array has dimensions of steps x t x pp, where steps is the number of divisions of the parametric range, t is the number of temporary steps and pp the number of parameters of the model. |
pp_names |
a strings vector with the names of the parameters of the model. |
Value
a list containing two matrices. The first contains the first order sobol, the second sobol_total.
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
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("data_Bstat", "CM", "pp_names")
SOBOL_indices <- SOBOL(data_Bstat[,3], CM$CM_mean, CM$CM_var , pp_names)
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