asy_max

get the approximate test statistic and p-value based on asymptotic theory using robust max-type edge-count test

internal

Useful tools for determining whether two samples are from the same distribution. Utilizes a robust method to address the problematic structure of the similarity graph constructed from high-dimensional data. The method is provided in Yichuan Bai and Lynna Chu (2023) <arXiv:2307.12325>.

Yichuan Bai

rgTest

Robust Graph-Based Two-Sample Test

Lynna Chu

asy_max function

<dl><dt>asy_res</dt>
<dd>analytic expressions of expectations, variances and covariances</dd>
<dt>R1_test</dt>
<dd>weighted within-sample edge-counts of sample 1</dd>
<dt>R2_test</dt>
<dd>weighted within-sample edge-counts of sample 2</dd>
<dt>n1</dt>
<dd>number of observations in sample 1</dd>
<dt>n2</dt>
<dd>number of observations in sample 2</dd></dl>

Arguments

get the approximate test statistic and p-value based on asymptotic theory using robust max-type edge-count test — asy_max

<dl>

<dt>asy_res</dt>
<dd>analytic expressions of expectations, variances and covariances</dd>


<dt>R1_test</dt>
<dd>weighted within-sample edge-counts of sample 1</dd>


<dt>R2_test</dt>
<dd>weighted within-sample edge-counts of sample 2</dd>


<dt>n1</dt>
<dd>number of observations in sample 1</dd>


<dt>n2</dt>
<dd>number of observations in sample 2</dd>

</dl>

asy_max: get the approximate test statistic and p-value based on asymptotic theory using robust max-type edge-count test

Description

Usage

Value

Arguments