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 (Hamza et al., 2024).

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?

Hamza T, Schwarzer G, Salanti G (2024): crossnma: An R Package to Synthesize Cross-Design Evidence and Cross-Format Data Using Network Meta-Analysis and Network Meta-Regression. BMC Medical Research Methodology, 24, 169

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 hamza.a.tasnim@gmail.com if you use RStudio.

You can also report bugs on GitHub under Issues.

References

Hamza T, Chalkou K, Pellegrini F, Kuhle J, Benkert P, Lorscheider J, Zecca C, Iglesias-Urrutia CP, Manca A, Furukawa TA, Cipriani A, Salanti G (2023): Synthesizing cross-design evidence and cross-format data using network meta-regression. Research Synthesis Methods, 14, 283-300

Hamza T, Schwarzer G, Salanti G (2024): crossnma: An R Package to Synthesize Cross-Design Evidence and Cross-Format Data Using Network Meta-Analysis and Network Meta-Regression. BMC Medical Research Methodology, 24, 169