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>.

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 ORCID iD [aut], Guido Schwarzer ORCID iD [aut, cre], Georgia Salanti ORCID iD [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:

Reference manual: crossnma.html , crossnma.pdf
Vignettes: crossnma: Cross-Design & Cross-Format Network Meta-Analysis and Regression (source, R code)

Downloads:

Package source: crossnma_1.3.0.tar.gz
Windows binaries: r-devel: crossnma_1.3.0.zip, r-release: crossnma_1.3.0.zip, r-oldrel: crossnma_1.3.0.zip
macOS binaries: r-release (arm64): crossnma_1.3.0.tgz, r-oldrel (arm64): crossnma_1.3.0.tgz, r-release (x86_64): crossnma_1.3.0.tgz, r-oldrel (x86_64): crossnma_1.3.0.tgz
Old sources: crossnma archive

Reverse dependencies:

Reverse suggests: netmeta

Linking:

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