cacheBlockPermute1

Generates a block permutation distribution of \(V\) statistic.
Precomputes distances and some indexing arrays to quickly
generate samples from the block permutation distribution of the \(V\)
statistic of \(\mathbf{X}\).

Given a multivariate dataset and some knowledge about the dependencies
between its features, it is customary to fit a statistical model to the features
to infer parameters of interest. Such a procedure implicitly assumes that the
sample is exchangeable. This package provides a flexible non-parametric test
of this exchangeability assumption, allowing the user to specify the feature
dependencies by hand as long as features can be grouped into disjoint independent sets.
This package also allows users to test a dual hypothesis, which is, given that the
sample is exchangeable, does a proposed grouping of the features into disjoint sets
also produce statistically independent sets of features? See Aw, Spence and Song (2023)
for the accompanying paper.

Alan Aw

flintyR

Simple and Flexible Tests of Sample Exchangeability

Jeffrey Spence

cacheBlockPermute1 function

<dl><dt>X</dt>
<dd>The binary or real matrix on which to perform
permutation resampling</dd>
<dt>block_labels</dt>
<dd>Length \(P\) vector recording the block label of each feature</dd>
<dt>nruns</dt>
<dd>The resampling number (use at least 1000)</dd>
<dt>p</dt>
<dd>The power \(p\) of \(l_p^p\), i.e., \(||x||_p^p = (x_1^p+...x_n^p)\)</dd></dl>

Arguments

Resampling Many V Statistics (Version 1) — cacheBlockPermute1

<dl>

<dt>X</dt>
<dd>The binary or real matrix on which to perform
permutation resampling</dd>


<dt>block_labels</dt>
<dd>Length \(P\) vector recording the block label of each feature</dd>


<dt>nruns</dt>
<dd>The resampling number (use at least 1000)</dd>


<dt>p</dt>
<dd>The power \(p\) of \(l_p^p\), i.e., \(||x||_p^p = (x_1^p+...x_n^p)\)</dd>

</dl>

cacheBlockPermute1: Resampling Many V Statistics (Version 1)

Description

Usage

Value

Arguments

Details