normalizing_constant

Normalizing constants for the publication selection meta-Analysis model.
These are used in several other functions. The underlying effect size
distribution is normal and the selection is one-sided.

internal

Tools for Bayesian estimation of meta-analysis models that account
for publications bias or p-hacking. For publication bias, this package
implements a variant of the p-value based selection model of Hedges (1992)
<doi:10.1214/ss/1177011364> with discrete selection probabilities. It also
implements the mixture of truncated normals model for p-hacking described
in Moss and De Bin (2019) <arXiv:1911.12445>.

Jonas Moss

publipha

Bayesian Meta-Analysis with Publications Bias and P-Hacking

Trustees of Columbia University 

normalizing_constant function

<dl><dt>sigma</dt>
<dd>Numeric; The standard deviation of the study, due to
sampling error.</dd>
<dt>theta</dt>
<dd>Numeric; The mean of the underlying effect size.</dd>
<dt>alpha</dt>
<dd>Numeric vector; Specifies the thresholds for publication
bias.</dd>
<dt>eta</dt>
<dd>Numeric vector; Containing the probabilities of being a study
with the given p-value from being published. This is normalized so that
the maximal element is 1.</dd>
<dt>theta0</dt>
<dd>Numeric; The mean of the underlying effect size
distribution.</dd>
<dt>tau</dt>
<dd>Numeric; The standard deviation of the underlying effect
size distribution.</dd></dl>

Arguments

Normalizing Constants for the Publication Selection Meta-Analysis Model — normalizing_constant

<dl>

<dt>sigma</dt>
<dd>Numeric; The standard deviation of the study, due to
sampling error.</dd>


<dt>theta</dt>
<dd>Numeric; The mean of the underlying effect size.</dd>


<dt>alpha</dt>
<dd>Numeric vector; Specifies the thresholds for publication
bias.</dd>


<dt>eta</dt>
<dd>Numeric vector; Containing the probabilities of being a study
with the given p-value from being published. This is normalized so that
the maximal element is 1.</dd>


<dt>theta0</dt>
<dd>Numeric; The mean of the underlying effect size
distribution.</dd>


<dt>tau</dt>
<dd>Numeric; The standard deviation of the underlying effect
size distribution.</dd>

</dl>

normalizing_constant: Normalizing Constants for the Publication Selection Meta-Analysis Model

Description

Usage

Value

Arguments

Details