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 
[aut] (<https://orcid.org/0000-0002-4700-6990>),
Guido Schwarzer
[aut, cre] (<https://orcid.org/0000-0001-6214-9087>),
Georgia Salanti
[aut] (<https://orcid.org/0000-0002-3830-8508>) |
| 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 |