Murphy Diagrams

Draw the so called Murphy Diagram to compare point forecasts
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Updated 2 Jan 2017

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The function murphydiagram(f1, f2, y, varargin) computes elementary score functions and draw the so called Murphy Diagram to compare quality of point forecasts in very general sense. For details see the following paper:
Ehm, W., Gneiting, T., Jordan, A. and Krueger, F. (2016), Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings. J. R. Stat. Soc. B, 78: 505–562. doi:10.1111/rssb.12154
Usage of murphydiagram(f1, f2, y, varargin)
f1 and f2 are [n x 1] vectors of forecasts to be compared,
y is [n x 1] vector of realizations

For details see an example code "replication_example.m".

This Matlab code is converted from R-code by Alexander Jordan and Fabian Krueger, see the "murphydiagram" R package v. 0.11, https://cran.r-project.org/web/packages/murphydiagram/index.html

Cite As

Damian Stelmasiak (2024). Murphy Diagrams (https://www.mathworks.com/matlabcentral/fileexchange/60974-murphy-diagrams), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Conditional Mean Models in Help Center and MATLAB Answers
Acknowledgements

Inspired by: raacampbell/shadedErrorBar, rgb2hex and hex2rgb

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Version Published Release Notes
1.1.0.0

screenshots added

1.0.0.0