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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: | 1.2.0 |
Depends: | R (≥ 3.5), meta, netmeta (≥ 2.8-0) |
Imports: | rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2 |
Suggests: | rmarkdown, knitr |
Published: | 2023-09-18 |
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 |
Reference manual: | crossnma.pdf |
Vignettes: |
crossnma: Cross-Design & Cross-Format Network Meta-Analysis and Regression |
Package source: | crossnma_1.2.0.tar.gz |
Windows binaries: | r-devel: crossnma_1.2.0.zip, r-release: crossnma_1.2.0.zip, r-oldrel: crossnma_1.2.0.zip |
macOS binaries: | r-release (arm64): crossnma_1.2.0.tgz, r-oldrel (arm64): crossnma_1.2.0.tgz, r-release (x86_64): crossnma_1.2.0.tgz, r-oldrel (x86_64): crossnma_1.2.0.tgz |
Old sources: | crossnma archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.