discr.mnr

<p>Discriminability Mean Normalized Rank</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

discr.mnr function

Discriminability Mean Normalized Rank — discr.mnr

Discriminability Mean Normalized Rank

discr.mnr: Discriminability Mean Normalized Rank

Description

Usage

Arguments

Value