print.nma_dic

An object of class <a rd-options="" href="/link/nma_dic?package=multinma&version=0.2.0" data-mini-rdoc="multinma::nma_dic">nma_dic</a>

An integer passed to <code><a rd-options="=round" href="/link/round()?package=multinma&version=0.2.0&to=%3Dround" data-mini-rdoc="=round::round()">round()</a></code>

digits

Print details of DIC model fit statistics, computed by <code><a rd-options="=dic" href="/link/dic()?package=multinma&version=0.2.0&to=%3Ddic" data-mini-rdoc="=dic::dic()">dic()</a></code> function.

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'.

David Phillippo

multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

print.nma_dic function

An object of class <a rd-options='' href='nma_dic'>nma_dic</a>

An integer passed to <code><a rd-options='=round' href='round()'>round()</a></code>

Print details of DIC model fit statistics, computed by <code><a rd-options='=dic' href='dic()'>dic()</a></code> function.

print.nma_dic: Print DIC details

Description

Usage

Arguments

Value