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

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Authors: Chris Shreenan-Dyck
Cited by: 0

Abstract

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.

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset