HERA

Version 1.3.1 (582 KB) by Lukas

A Scientific Ranking Framework for Paired Benchmarking

https://lerdmann1601.github.io/HERA-Matlab/

5.0

(1)

18 Downloads

Updated 10 Mar 2026

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Cite As

von Erdmannsdorff, Lukas. HERA: A Hierarchical-Compensatory, Effect-Size Driven and Non-Parametric Ranking Algorithm Using Data-Driven Thresholds and Bootstrap Validation. Zenodo, 2026, https://doi.org/10.5281/ZENODO.18274870.

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von Erdmannsdorff, Lukas. HERA: Hierarchical-Compensatory, Effect-Size-Driven Ranking Algorithm. Zenodo, 2026, https://doi.org/10.5281/ZENODO.18274870.

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Requires

If you want to compile into a Python Package you need the MATHLAB Compiler SDK. If you want to use the pre-converted HERA Python package available on PyPI, run pip3 install hera-matlab and install the MATLAB Runtime R2025b (25.2) from the MathWorks website, or follow the instructions during the installation process.

MATLAB Release Compatibility

Created with R2025b

Compatible with R2020a and later releases

Platform Compatibility

Windows macOS Linux

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Version	Published	Release Notes
1.3.1	10 Mar 2026	See release notes for this release on GitHub: https://github.com/lerdmann1601/HERA-Matlab/releases/tag/v1.3.1	Toolbox Zip
1.3.0	3 Mar 2026	See release notes for this release on GitHub: https://github.com/lerdmann1601/HERA-Matlab/releases/tag/v1.3.0	Toolbox Zip
1.2.1	1 Feb 2026	See release notes for this release on GitHub: https://github.com/lerdmann1601/HERA-Matlab/releases/tag/v1.2.1	Toolbox Zip
1.2.0	30 Jan 2026	See release notes for this release on GitHub: https://github.com/lerdmann1601/HERA-Matlab/releases/tag/v1.2.0	Toolbox Zip

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

MLA	von Erdmannsdorff, Lukas. HERA: A Hierarchical-Compensatory, Effect-Size Driven and Non-Parametric Ranking Algorithm Using Data-Driven Thresholds and Bootstrap Validation. Zenodo, 2026, https://doi.org/10.5281/ZENODO.18274870.
APA	Erdmannsdorff, L. von. (2026). HERA: A Hierarchical-Compensatory, Effect-Size Driven and Non-parametric Ranking Algorithm using Data-Driven Thresholds and Bootstrap Validation. Zenodo. Retrieved from https://zenodo.org/doi/10.5281/zenodo.18274870
BibTeX	@misc{https://doi.org/10.5281/zenodo.18274870, doi = {10.5281/ZENODO.18274870}, url = {https://zenodo.org/doi/10.5281/zenodo.18274870}, author = {von Erdmannsdorff, Lukas}, keywords = {MATLAB, ranking, statistics, benchmarking, bootstrap, effect size, multi-criteria decision making}, title = {HERA: A Hierarchical-Compensatory, Effect-Size Driven and Non-parametric Ranking Algorithm using Data-Driven Thresholds and Bootstrap Validation}, publisher = {Zenodo}, year = {2026}, copyright = {MIT License} }

MLA	von Erdmannsdorff, Lukas. HERA: Hierarchical-Compensatory, Effect-Size-Driven Ranking Algorithm. Zenodo, 2026, https://doi.org/10.5281/ZENODO.18274870.
APA	Erdmannsdorff, L. von. (2026). HERA: Hierarchical-Compensatory, Effect-Size-Driven Ranking Algorithm. Zenodo. Retrieved from https://zenodo.org/doi/10.5281/zenodo.18274870
BibTeX	@misc{https://doi.org/10.5281/zenodo.18274870, doi = {10.5281/ZENODO.18274870}, url = {https://zenodo.org/doi/10.5281/zenodo.18274870}, author = {von Erdmannsdorff, Lukas}, keywords = {MATLAB, ranking, statistics, benchmarking, bootstrap, effect size, multi-criteria decision making}, title = {HERA: Hierarchical-Compensatory, Effect-Size-Driven Ranking Algorithm}, publisher = {Zenodo}, year = {2026}, copyright = {MIT License} }

HERA

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Requires

MATLAB Release Compatibility

Platform Compatibility

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