MEG Ladder Stats: Reproducible Shuffle Tests for Quantized Steepness Alignments (v0.1.0)

This item provides a self-contained, runnable package that reproduces the statistical validation of rung alignment used in the MEG harmonic ladder manuscript. It includes the pre-specified 12-feature dataset (in rung units) and Python code to run three null models, compute effect-size metrics, and test robustness, so referees (and readers) can verify all reported results with a single command.<br><br>本程序包提供了一个自包含、可直接运行的完整套件，可复现《MEG谐波阶梯》（MEG harmonic ladder）手稿中所采用的梯级对齐（rung alignment）统计验证流程。该程序包包含预先设定的12特征数据集（单位为梯级），以及可运行三种零模型、计算效应量指标并开展稳健性检验的Python代码，使审稿人及读者仅需执行一条命令即可验证所有已报道的研究结果。