print.baggr

This prints a concise summary of the main baggr model features.
More info is included in the summary of the model and its attributes.

Running and comparing meta-analyses of data with hierarchical
Bayesian models in Stan, including convenience functions for formatting
data, plotting and pooling measures specific to meta-analysis. This implements many models
from Meager (2019) <doi:10.1257/app.20170299>.

Witold Wiecek

baggr

Bayesian Aggregate Treatment Effects

Rachael Meager

Brice Green

Danny Toomey

Trustees of Columbia University

print.baggr function

<dl><dt>x</dt>
<dd>object of class <code>baggr</code></dd>
<dt>exponent</dt>
<dd>if <code>TRUE</code>, results (for means) are converted to exp scale</dd>
<dt>digits</dt>
<dd>Number of significant digits to print.</dd>
<dt>prob</dt>
<dd>Width of uncertainty interval (defaults to 95%)</dd>
<dt>group</dt>
<dd>logical; print group effects? If unspecified,
they are printed only if
less than 20 groups are present</dd>
<dt>fixed</dt>
<dd>logical: print fixed effects?</dd>
<dt>...</dt>
<dd>currently unused by this package: further arguments passed
to or from other methods (<code>print</code> requirement)</dd></dl>

Arguments

S3 print method for objects of class baggr (model fits) — print.baggr

<dl>

<dt>x</dt>
<dd>object of class <code>baggr</code></dd>


<dt>exponent</dt>
<dd>if <code>TRUE</code>, results (for means) are converted to exp scale</dd>


<dt>digits</dt>
<dd>Number of significant digits to print.</dd>


<dt>prob</dt>
<dd>Width of uncertainty interval (defaults to 95%)</dd>


<dt>group</dt>
<dd>logical; print group effects? If unspecified,
they are printed only if
less than 20 groups are present</dd>


<dt>fixed</dt>
<dd>logical: print fixed effects?</dd>


<dt>...</dt>
<dd>currently unused by this package: further arguments passed
to or from other methods (<code>print</code> requirement)</dd>

</dl>

print.baggr: S3 print method for objects of class `baggr` (model fits)

Description

Usage

Arguments