degree_distribution

This function is used in 'P_Knear_rank' to compute the degrees

Implements the Multi-view Aggregated Two-Sample (MATES) test, a powerful nonparametric method for testing equality of two multivariate distributions. The method constructs multiple graph-based statistics from various perspectives (views) including different distance metrics, graph types (nearest neighbor graphs, minimum spanning trees, and robust nearest neighbor graphs), and weighting schemes. These statistics are then aggregated through a quadratic form to achieve improved statistical power. The package provides both asymptotic closed-form inference and permutation-based testing procedures. For methodological details, see Cai and others (2026+) <doi:10.48550/arXiv.2412.16684>.

Zexi Cai

MATES

Multi-View Aggregated Two Sample Tests

Mingshuo Liu

Wenbo Fei

Doudou Zhou

degree_distribution function

<dl><dt>G</dt>
<dd>Integer or numeric matrix with two columns, where each row
represents a directed edge <code>(from, to)</code> in the k-NN graph</dd>
<dt>sampleIDs</dt>
<dd>Integer vector of node indices for which to compute degrees</dd></dl>

Arguments

Auxiliary function to compute rank matrix — degree_distribution

<dl>

<dt>G</dt>
<dd>Integer or numeric matrix with two columns, where each row
represents a directed edge <code>(from, to)</code> in the k-NN graph</dd>


<dt>sampleIDs</dt>
<dd>Integer vector of node indices for which to compute degrees</dd>

</dl>

degree_distribution: Auxiliary function to compute rank matrix

Description

Usage

Value

Arguments