plot.gMAP

Diagnostic plots for gMAP analyses

Tool-set to support Bayesian evidence synthesis. This
includes meta-analysis, (robust) prior derivation from historical
data, operating characteristics and analysis (1 and 2 sample
cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19>
for details on applying this package while Neuenschwander et al. (2010)
<doi:10.1177/1740774509356002> and Schmidli et al. (2014)
<doi:10.1111/biom.12242> explain details on the methodology.

Sebastian Weber

RBesT

R Bayesian Evidence Synthesis Tools

Novartis Pharma AG

Beat Neuenschwander

Heinz Schmidli

Baldur Magnusson

Yue Li

Satrajit Roychoudhury

Lukas A. Widmer

Trustees of Columbia University

plot.gMAP function

<dl><dt>x</dt>
<dd><code>gMAP()</code> object</dd>
<dt>size</dt>
<dd>Controls line sizes of traceplots and forest plot.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

The returned plot is a ggplot2 object. Please refer to the
"Customizing Plots" vignette which is part of RBesT
documentation for an introduction. For simple modifications (change
labels, add reference lines, ...) consider the commands found in
<code>bayesplot-helpers</code>. For more advanced
customizations please use the ggplot2 package directly. A
description of the most common tasks can be found in the
<a href="http://www.cookbook-r.com/Graphs/">R Cookbook</a> and a full
reference of available commands can be found at the
<a href="https://ggplot2.tidyverse.org/reference/">ggplot2 documentation
site</a>.

Customizing ggplot2 plots

Diagnostic plots for gMAP analyses — plot.gMAP

<dl>

<dt>x</dt>
<dd><code>gMAP()</code> object</dd>


<dt>size</dt>
<dd>Controls line sizes of traceplots and forest plot.</dd>


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

</dl>

The returned plot is a ggplot2 object. Please refer to the
"Customizing Plots" vignette which is part of RBesT
documentation for an introduction. For simple modifications (change
labels, add reference lines, ...) consider the commands found in
<code>bayesplot-helpers</code>. For more advanced
customizations please use the ggplot2 package directly. A
description of the most common tasks can be found in the
<a href='http://www.cookbook-r.com/Graphs/'>R Cookbook</a> and a full
reference of available commands can be found at the
<a href='https://ggplot2.tidyverse.org/reference/'>ggplot2 documentation
site</a>.

plot.gMAP: Diagnostic plots for gMAP analyses

Description

Usage

Value

Arguments

Customizing <span class="pkg">ggplot2</span> plots

Details