crossnma: Cross-Design and Cross-Format Synthesis using Network Meta-Analysis and Network Meta-Regression
Official Git repository of R package crossnma
Authors
Tasnim Hamza, Guido Schwarzer, Georgia Salanti
Description
crossnma is an R package that allows for synthesizing the data from randomized or non-randomized studies coming from individual-participants or aggregate data (Hamza et al., 2023). The package implements Bayesian models in network meta-analysis and network meta-regression through JAGS software.
Installation
Current stable 
release:
install.packages("crossnma")Current beta / GitHub release:
Installation using R package remotes:
install.packages("remotes")
remotes::install_github("htx-r/crossnma")How to use crossnma?
There are two steps to conduct a network meta-analysis or
meta-regression. The first step is to create a JAGS model using
crossnma.model() which produces the JAGS code and transforms the
data to the JAGS format. In the second step, the output of that
function will be used in crossnma() to run the MCMC (Markov chain
Monte Carlo) through JAGS.
We illustrate how to use crossnma through several examples in the vignette:
vignette("crossnma")
How to cite crossnma?
A BibTeX entry for LaTeX users is provided by
citation(package = "crossnma")
Bug Reports:
bug.report(package = "crossnma")The bug.report function is not supported in RStudio. Please send an email to Tasnim Hamza tasnim.hamza@ispm.unibe.ch if you use RStudio.
You can also report bugs on GitHub under Issues.