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