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>Print <code>stan_nma</code> objects
</p>

## S3 method for class 'stan_nma'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>A <a href="stan_nma-class.html">stan_nma</a> object</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Further arguments passed to <code><a href="../../rstan/html/print.stanfit.html">print.stanfit()</a></code></p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#multinma-0.3.0#docs#print.stan_nma

`x`	A stan_nma object
`...`	Further arguments passed to `print.stanfit()`

print.stan_nma

Description

Usage

Arguments

multinma

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