print.hmr

Generic print 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

print.hmr function

<dl><dt>x</dt>
<dd>The object generated by the function hmr.</dd>
<dt>digits</dt>
<dd>The number of significant digits printed. The default value is 3.</dd>
<dt>intervals</dt>
<dd>A numeric vector of probabilities with values in [0,1]. The default value is
intervals = c(0.025, 0.5, 0.975).</dd>
<dt>...</dt>
<dd>...</dd></dl>

Arguments

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

<dl>

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


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


<dt>intervals</dt>
<dd>A numeric vector of probabilities with values in [0,1]. The default value is
intervals = c(0.025, 0.5, 0.975).</dd>


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

</dl>

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

Description

Usage

Arguments