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>.
Version: 1.3.0 Depends: R (≥ 3.5), meta (≥ 8.0-1), netmeta (≥ 2.8-0) Imports: rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2 Suggests: rmarkdown, knitr Published: 2024-11-28 DOI: 10.32614/CRAN.package.crossnma Author: Tasnim Hamza [aut], Guido Schwarzer [aut, cre], Georgia Salanti [aut] Maintainer: Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/htx-r/crossnma NeedsCompilation: no Citation: crossnma citation info Materials: NEWS In views: MetaAnalysis CRAN checks: crossnma results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=crossnma to link to this page.
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