plot.baggr_cv

Plotting method for results of baggr LOO analyses

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

plot.baggr_cv function

<dl><dt>x</dt>
<dd>output from loocv that has <code>return_models = TRUE</code></dd>
<dt>y</dt>
<dd>Unused, ignore</dd>
<dt>...</dt>
<dd>Unused, ignore</dd>
<dt>add_values</dt>
<dd>logical; if <code>TRUE</code>, values of elpd are printed next to each
study</dd></dl>

Arguments

Plotting method for results of baggr LOO analyses — plot.baggr_cv

<dl>

<dt>x</dt>
<dd>output from loocv that has <code>return_models = TRUE</code></dd>


<dt>y</dt>
<dd>Unused, ignore</dd>


<dt>...</dt>
<dd>Unused, ignore</dd>


<dt>add_values</dt>
<dd>logical; if <code>TRUE</code>, values of elpd are printed next to each
study</dd>

</dl>

plot.baggr_cv: Plotting method for results of baggr LOO analyses

Description

Usage

Value

Arguments