HERA: A Hierarchical-Compensatory, Effect-Size Driven and Non-parametric Ranking Algorithm using Data-Driven Thresholds and Bootstrap Validation

HERA (Hierarchical-Compensatory, Effect-Size Driven Ranking Algorithm) is a MATLAB toolbox designed to automate the objective comparison of algorithms, experimental conditions, or datasets across multiple quality metrics. It implements a hierarchical-compensatory logic integrating non-parametric significance testing, robust effect size estimation (Cliff's Delta and Relative Difference), and bootstrapping to produce statistically robust rankings.