HERA: Official Documentation
Welcome to the official documentation for HERA (Hierarchical-Compensatory, Effect-Size-Driven Algorithm). A Scientific Ranking Framework for Paired ry and code are actively being updated to reflect revisions made during the review process.
This platform serves as the comprehensive reference guide for the HERA framework, systematically organizing the repository's documentation into a centralized, wiki-style knowledge hub.
While the source code contains the raw files, this site is optimized to offer a streamlined reading experience for the entire frameworkâincluding detailed installation guides, parameter configuration, hierarchical-compensatory ranking logic, and bootstrap validation mechanisms.
Get HERA (v1.4.5)
You can download the latest version of the toolbox directly:
- GitHub Releases: Download .mltbx, Source, or macOS Runtime App
- MATLAB File Exchange: Download Toolbox
- PyPI (Python Interface): Download Python Package