postNormMean

This function computes the mean of a normalized power prior
 conditional on a fixed power parameter and an initial normal prior for
 the effect size.

internal

Provides functionality for Bayesian analysis of replication studies using power prior approaches (Pawel et al., 2023) <doi:10.1007/s11749-023-00888-5>.

Samuel Pawel

ppRep

Analysis of Replication Studies using Power Priors

postNormMean function

<dl><dt>dat</dt>
<dd>Data.</dd>
<dt>vardata</dt>
<dd>Variance of the data.</dd>
<dt>priormean</dt>
<dd>Mean parameter of initial normal prior. Defaults to
<code>0</code>.</dd>
<dt>priorvar</dt>
<dd>Variance parameter of initial normal prior. Defaults to
<code>Inf</code> (uniform prior).</dd>
<dt>alpha</dt>
<dd>Power parameter. Indicates to which power the likelihood of the
data is raised. Can be set to a number in [0, 1]. Defaults to <code>1</code>.</dd></dl>

Arguments

Author

Mean of normalized power prior — postNormMean

<dl>

<dt>dat</dt>
<dd>Data.</dd>


<dt>vardata</dt>
<dd>Variance of the data.</dd>


<dt>priormean</dt>
<dd>Mean parameter of initial normal prior. Defaults to
<code>0</code>.</dd>


<dt>priorvar</dt>
<dd>Variance parameter of initial normal prior. Defaults to
<code>Inf</code> (uniform prior).</dd>


<dt>alpha</dt>
<dd>Power parameter. Indicates to which power the likelihood of the
data is raised. Can be set to a number in [0, 1]. Defaults to <code>1</code>.</dd>

</dl>

postNormMean: Mean of normalized power prior

Description

Usage

Value

Arguments

Author