AMA: AMA indices

In GSA.UN: Global Sensitivity Analysis Tool

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 <[e-mail]>
Maria Cristina Areas-Bautista <[e-mail]>

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)

GSA.UN documentation built on July 10, 2020, 5:06 p.m.