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

Print details of DIC model fit statistics, computed by <code><a href="dic.html">dic()</a></code> function.

## S3 method for class 'nma_dic'
print(x, digits = 1, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
An object of class <a href="nma_dic-class.html">nma_dic</a>
</td>
</tr>
<tr valign="top">
<td><code>digits</code></td>
<td>
An integer passed to <code><a href="../../base/html/Round.html">round()</a></code>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
Ignored
</td>
</tr>
</table>

<code>x</code> is returned invisibly.

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

`x`	An object of class nma_dic
`digits`	An integer passed to `round()`
`...`	Ignored

print.nma_dic

Description

Usage

Arguments

Value

multinma

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