Network meta-analysis and network meta-regression models for
aggregate data, individual patient data, and mixtures of both individual
and aggregate data using multilevel network meta-regression as described by
Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a
Bayesian framework using 'Stan'.

Bayesian Network Meta-Analysis of Individual and Aggregate Data

package-ubuntu-20.04-r-4.0.5#cran#multinma-0.3.0

<p>A simple <code>ggplot2</code> theme for plots in the <code>multinma</code> package.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>...</code></td>
<td>
<p>Arguments passed to
<code><a href="../../ggplot2/html/ggtheme.html">ggplot2::theme_light()</a></code></p>
</td>
</tr></table>

<p><code><a href="../../ggplot2/html/theme.html">ggplot2::theme()</a></code>, <code><a href="../../ggplot2/html/theme_get.html">ggplot2::theme_set()</a></code>
</p>

library(ggplot2)
theme_set(theme_multinma())

package-ubuntu-20.04-r-4.0.5#cran#multinma-0.3.0#docs#theme_multinma

theme_multinma

Description

Usage

Arguments

Value

See Also

Examples

multinma

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