v1.4.1

[lerdmann1601]

HERA

HERA is a MATLAB based scientific ranking framework for paired benchmarking. It provides a hierarchical-compensatory logic, advanced effect-size statistics, and automated reporting capabilities.

For more information please refer to the Readme and Project Documentation.

What's New in v1.4.1?

This fast-follow release focuses on documentation clarity and significant package size optimization for leaner distributions.

📦 Optimization for Builds

• Reduced Package Size: Reduced the size of both the MATLAB Toolbox (.mltbx) and the Python distribution packages.
• Refined Build Scripts: Updated deployment scripts to ensure cleaner package generation across all platforms.

📖 Documentation

• Documentation Overhaul: Comprehensive updates to the scientific methodology sections for HERA to provide a better wiki on the GitHub page.

Recent Major Features (from v1.4.0)

✨ Convergence Analysis Enhancements:

• Added a new Scenario: Added a "Sensitivity" scenario with small effect sizes.
• JSON Configuration: All scenarios are fully customizable through a JSON configuration file
• Automatic Update Checks: HERA notifies users if a newer version is available.

(For a full list of features, see the v1.4.0 Release Notes)

🖥️ Platform Support

• MATLAB Toolbox & Python Package: Windows, macOS (Intel & Apple Silicon), Linux
• Standalone Runtime Application: macOS (Apple Silicon ONLY)

📦 Compatibility

• MATLAB: Compatible with R2020a and newer.
• Python: Compatible with Python 3.9 through 3.12 and Matlab Runtime R2025b (25.2).

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Full Changelog: v1.4.0...v1.4.1

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This discussion was created from the release v1.4.1.