summary.hmr

Generic summary function for hmr object in jarbes

Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Pablo Emilio Verde

jarbes

Just a Rather Bayesian Evidence Synthesis

summary.hmr function

<dl><dt>object</dt>
<dd>The object generated by the hmr function.</dd>
<dt>digits</dt>
<dd>The number of significant digits printed. The default value is 3.</dd>
<dt>...</dt>
<dd>...</dd></dl>

Arguments

Generic summary function for hmr object in jarbes — summary.hmr

<dl>

<dt>object</dt>
<dd>The object generated by the hmr function.</dd>


<dt>digits</dt>
<dd>The number of significant digits printed. The default value is 3.</dd>


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

</dl>

summary.hmr: Generic summary function for hmr object in jarbes

Description

Usage

Arguments