generate_study_data

This function simulates data for the Replication Crisis study by drawing samples
from normal distributions defined by the card values.

Researchers often have expectations about the relations between means
of different groups or standardized regression coefficients; using informative
hypothesis testing to incorporate these expectations into the analysis through
order constraints increases statistical power
Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>. Another valuable
tool, the Bayes factor, can evaluate evidence for multiple hypotheses without
concerns about multiple testing, and can be used in Bayesian updating
Hoijtink, Mulder, van Lissa & Gu (2019) <doi:10.1037/met0000201>. The 'bain'
R package enables informative hypothesis testing using the Bayes factor. The
'mmibain' package provides 'shiny' web applications based on 'bain'. The
RepliCrisis() function launches a 'shiny' card game to simulate the evaluation
of replication studies while the mmibain() function launches a 'shiny'
application to fit Bayesian informative hypotheses evaluation models from
'bain'.

Mackson Ncube

mmibain

Bayesian Informative Hypotheses Evaluation Web Applications

mightymetrika, LLC 

generate_study_data function

<dl><dt>x</dt>
<dd>A matrix with two rows representing the mean and standard deviation
for each group.</dd>
<dt>sample_size</dt>
<dd>The number of samples to draw for each study group.</dd></dl>

Arguments

Generate Study Data for RepliCrisis — generate_study_data

<dl>

<dt>x</dt>
<dd>A matrix with two rows representing the mean and standard deviation
for each group.</dd>


<dt>sample_size</dt>
<dd>The number of samples to draw for each study group.</dd>

</dl>

generate_study_data: Generate Study Data for RepliCrisis

Description

Usage

Value

Arguments

Details

Examples