htx-r/crossnma: Cross-Design & Cross-Format Network Meta-Analysis and Regression

Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.

Getting started

Package details

AuthorTasnim Hamza [aut] (<https://orcid.org/0000-0002-4700-6990>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>), Georgia Salanti [aut] (<https://orcid.org/0000-0002-3830-8508>)
MaintainerGuido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>
LicenseGPL (>=2)
Version1.3.0
URL https://github.com/htx-r/crossnma
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("htx-r/crossnma")
htx-r/crossnma documentation built on Nov. 29, 2024, 1:14 p.m.