exclusion_criteria

A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) <doi:10.1016/j.brat.2022.104072>. Since November 2025, this package contains code from the 'ez' R package (Copyright (c) 2016-11-01, Michael A. Lawrence <mike.lwrnc@gmail.com>), originally distributed under the 'GPL' (equal and above 2) license.

Angelos-Miltiadis Krypotos

multifear

Multiverse Analyses for Conditioning Data

exclusion_criteria function

<dl><dt>data</dt>
<dd>a data object generated by the <code>multics::chop_css</code> function</dd>
<dt>cutoff</dt>
<dd>cut off score</dd></dl>

Arguments

exclusion_criteria — exclusion_criteria

<dl>

<dt>data</dt>
<dd>a data object generated by the <code>multics::chop_css</code> function</dd>


<dt>cutoff</dt>
<dd>cut off score</dd>

</dl>

exclusion_criteria: exclusion_criteria

Description

Usage

Value

Arguments

Details