Multiscale Graph Correlation
Connected Components Labelling -- Unique Patch Labelling
Discriminability Mean Normalized Rank
Reliability Density Function
Discriminability Cross Simulation
Discriminability Exponential Simulation
Discriminability Spread Simulation
Discriminability Linear Simulation
Discriminability Radial Simulation
Discriminability Statistic
Discriminability One Sample Permutation Test
Discriminability Two Sample Permutation Test
Discriminability Utility Validator
An auxiliary function that properly transforms the distance matrix X
An auxiliary function that sorts the entries within each column by asc...
A helper function to generate a d-dimensional linear transformation ma...
A helper function for simulating sample labels
A helper function to generate n samples of a d-dimensional uniform vec...
An auxiliary function that computes all local correlations simultaneou...
Distance Matrix Validator
MGC Distance Transform
Distance
MGC K Sample Testing
Driver for MGC Local Correlations
MGC Local Correlations
Sample from Unit 2-Ball
Sample from Unit 2-Sphere
Cubic Simulation
Exponential Simulation
Joint Normal Simulation
Linear Simulation
Quadratic Simulation
Random Rotation
Sample Random Rotation
GMM Simulate
Spiral Simulation
Step Function Simulation
Uncorrelated Bernoulli Simulation
W Shaped Simulation
MGC Sample Statistic Internal Driver
MGC Test
MGC Permutation Test
MGC Utility Validator
Remove Isolates
An auxiliary function that finds the smoothed maximal within the signi...
An auxiliary function that finds a region of significance in the local...
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.