v1.3.1

HERA

HERA is a robust MATLAB toolbox designed for the scientific benchmarking of clustered data. It offers hierarchical-compensatory ranking logic, advanced effect-size statistics, and automated reporting capabilities.

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

What's New in v1.3.1? (Visualization & Documentation Update)

This is a minor patch release introducing improvements to graphics and overall documentation clarity.

🔧 Bug Fixes & Improvements

• Updated Software Title: Simplified the software's full title across the documentation.
• Citation Request: Added an automated citation request to the console output.
• Enriched Results Export: The results struct now includes all statistics, full configuration, and comprehensive metadata to match the data_*.json file for seamless programmatic access.
• Dynamic Confidence Intervals: Confidence interval levels are now dynamically displayed across plots, logs, and output tables based on the user's input.
• Optimized Plot Axis: Adjusted plot x-axis limits to include dynamic margins for better readability.
• Optimized BCa Plots: Removed KDE from BCa distribution plots to provide a more accurate representation of the underlying data.

Recent Major Features (from v1.3.0)

📈 Convergence Analysis v2.0:

• JSON-Configuration
• Dynamic Resource-Aware Scaling (DRAS)
• Absolute Error Metrics

(For a full list of features, see the v1.3.0 Release Notes)

🖥️ Platform Support

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

📦 Compatibility

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

Full Changelog: v1.3.0...v1.3.1