mw.mw.2.perm

Use permutation-based reference distribution to obtain p values for a test that combines WMW for paired data and WMW for unpaired data

Implements two-sample tests for paired data with missing values (Fong, Huang, Lemos and McElrath 2018, Biostatics, <doi:10.1093/biostatistics/kxx039>) and modified Wilcoxon-Mann-Whitney two sample location test, also known as the Fligner-Policello test.

Youyi Fong

robustrank

Robust Rank-Based Tests

mw.mw.2.perm function

<dl> <dt>X</dt>
<dd>X</dd> <dt>Y</dt>
<dd>Y</dd> <dt>Xprime</dt>
<dd>Xprime</dd> <dt>Yprime</dt>
<dd>Yprime</dd> <dt>.corr</dt>
<dd>.corr</dd> <dt>mc.rep</dt>
<dd>mc.rep</dd> <dt>alternative</dt>
<dd>alternative</dd> <dt>verbose</dt>
<dd>verbose</dd></dl>

Arguments

A Test that Combines WMW for Paired Data and WMW for Unpaired Data — mw.mw.2.perm

<dl>

 <dt>X</dt>
<dd>X</dd>

 <dt>Y</dt>
<dd>Y</dd>

 <dt>Xprime</dt>
<dd>Xprime</dd>

 <dt>Yprime</dt>
<dd>Yprime</dd>

 <dt>.corr</dt>
<dd>.corr</dd>

 <dt>mc.rep</dt>
<dd>mc.rep</dd>

 <dt>alternative</dt>
<dd>alternative</dd>

 <dt>verbose</dt>
<dd>verbose</dd>

</dl>

mw.mw.2.perm: A Test that Combines WMW for Paired Data and WMW for Unpaired Data

Description

Usage

Arguments