| AMA {GSA.UN} | R Documentation |
AMA indices
Description
This function calculates the AMA indices: AMAE, AMAV, AMAV and AMAK.
Usage
AMA(data_Bstat, CM, pp_names, steps = 100)
Arguments
data_Bstat |
a data frame of dimensions t x 6, here t is the number of temporary steps and each column corresponds to a statistical measure: mean, variance, skewness, kurtosis and excess kurtosis. |
CM |
A list of arrays, each array corresponds to the conditional moments calculated with the mean, variance, skewness, kurtosis. Each array has dimensions of steps, t, p. |
pp_names |
vector that contains the names of the parameters (pp) |
steps |
number of divisions of the parametric range |
Value
A list of four matrices, which corresponds to AMAE, AMAV, AMAR and AMAK indices. Each matrix has dimensions of t x pp.
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
Examples
data("data_Bstat", "CM", "pp_names")
AMA_indices <- AMA(data_Bstat, CM, pp_names, steps= 15)