Rise_Rank

The rank function to calculate rank of elements of a matrix. Two possible
methods: the overall rank and the row-wise rank.

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

Rise_Rank function

<dl><dt>S</dt>
<dd>A numeric matrix representing the similarity matrix</dd>
<dt>method</dt>
<dd>A character string indicating the ranking method to use
("overall" or "row")</dd></dl>

Arguments

RISE rank matrix — Rise_Rank

<dl>

<dt>S</dt>
<dd>A numeric matrix representing the similarity matrix</dd>


<dt>method</dt>
<dd>A character string indicating the ranking method to use
("overall" or "row")</dd>

</dl>

Rise_Rank: RISE rank matrix

Description

Usage

Value

Arguments