M-exdex (Estimation of the Extremal Index)

Matlab distribution of the exdex R package (Estimation of the Extremal Index)

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Updated 26 May 2023

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M-exdex

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Matlab distribution of the exdex R package (Estimation of the Extremal Index):

https://github.com/paulnorthrop/exdex/tree/master

https://paulnorthrop.github.io/exdex/

All code has only been minimally tested (but results mirror that of the R package) - use with caution

At present, only the functions for the extremal index calculation have been completed, in the future I will look to translating the rest of the package, such as the diagnostic plots. For full details about the theory, functions, and inputs, please refer to the original package.

Syntax is exdex.function(), the currently working functions are:

theta = exdex.spm(data, b, bias_adjust, constrain, varN, which_dj, nv);
theta = exdex.kgaps(data, u, k, inc_cens, nv);
theta = exdex.dgaps(data, u, D, inc_cens, nv);
theta = exdex.iwls(data, u, maxit, nv);
% 'nv' is name value argument 'disp' to specify whether to display output to command window or not.
% default is to display, specify 'disp', 'n' to not display.

All credit and thanks to authors of the original R package.

Cite As

Luke Jenkins (2023). M-exdex (Estimation of the Extremal Index) (https://github.com/LJ-Jenkins/M-exdex/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.