Smoothing

localCorr

is the number of rows of localCorr

is the number of columns of localCorr

is a binary matrix of size m by n indicating the significant region.

An auxiliary function that finds the smoothed maximal within the significant region R:
If area of R is too small, return the last local corr otherwise take the maximum within R.

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

Smoothing function

An auxiliary function that finds the smoothed maximal within the significant region R:
If area of R is too small, return the last local corr otherwise take the maximum within R. — Smoothing

An auxiliary function that finds the smoothed maximal within the significant region R:
If area of R is too small, return the last local corr otherwise take the maximum within R.

Smoothing: An auxiliary function that finds the smoothed maximal within the significant region R: If area of R is too small, return the last local corr otherwise take the maximum within R.

Description

Usage

Arguments

Value