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 |
| 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:
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