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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: |
1.2.0 |
| 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 |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=crossnma
to link to this page.
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.
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