DistRanks

<p>An auxiliary function that sorts the entries within each column by ascending order:
For ties, the minimum ranking is used,
e.g. if there are repeating distance entries, the order is like 1,2,3,3,4,..,n-1.</p>

internal

Multiscale Graph Correlation (MGC) is a framework developed by Vogelstein et al. (2019) <DOI:10.7554/eLife.41690> that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.

Eric Bridgeford

Multiscale Graph Correlation

Censheng Shen

Shangsi Wang

Joshua Vogelstein

DistRanks function

An auxiliary function that sorts the entries within each column by ascending order:
For ties, the minimum ranking is used,
e.g. if there are repeating distance entries, the order is like 1,2,3,3,4,..,n-1. — DistRanks

An auxiliary function that sorts the entries within each column by ascending order:
For ties, the minimum ranking is used,
e.g. if there are repeating distance entries, the order is like 1,2,3,3,4,..,n-1.

DistRanks: An auxiliary function that sorts the entries within each column by ascending order: For ties, the minimum ranking is used, e.g. if there are repeating distance entries, the order is like 1,2,3,3,4,..,n-1.

Description

Usage

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Value