bubble

Bubble plots for meta-regression models

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

bubble function

<dl><dt>bg</dt>
<dd>a <code>baggr()</code> model using summary-level data, with covariates</dd>
<dt>covariate</dt>
<dd>one of the covariates present in the model</dd>
<dt>fit</dt>
<dd>logical: show mean model prediction? (slope is mean estimate of <code>fixed_effects()</code>, intercept is <code>hypermean()</code>);
if you have more than two groups and the covariate is a factor, this will be ignored</dd>
<dt>label</dt>
<dd>logical: label study/group names?</dd></dl>

Arguments

Bubble plots for meta-regression models — bubble

<dl>

<dt>bg</dt>
<dd>a <code>baggr()</code> model using summary-level data, with covariates</dd>


<dt>covariate</dt>
<dd>one of the covariates present in the model</dd>


<dt>fit</dt>
<dd>logical: show mean model prediction? (slope is mean estimate of <code>fixed_effects()</code>, intercept is <code>hypermean()</code>);
if you have more than two groups and the covariate is a factor, this will be ignored</dd>


<dt>label</dt>
<dd>logical: label study/group names?</dd>

</dl>

bubble: Bubble plots for meta-regression models

Description

Usage

Value

Arguments

See Also