Package: crossnma 1.2.0
Guido Schwarzer
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>.
Authors:
crossnma_1.2.0.tar.gz
crossnma_1.2.0.zip(r-4.5)crossnma_1.2.0.zip(r-4.4)crossnma_1.2.0.zip(r-4.3)
crossnma_1.2.0.tgz(r-4.4-any)crossnma_1.2.0.tgz(r-4.3-any)
crossnma_1.2.0.tar.gz(r-4.5-noble)crossnma_1.2.0.tar.gz(r-4.4-noble)
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crossnma.pdf |crossnma.html✨
crossnma/json (API)
NEWS
| # Install 'crossnma' in R: |
| install.packages('crossnma', repos = c('https://htx-r.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/htx-r/crossnma/issues
Last updated 1 years agofrom:c1b4396b8c. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | NOTE | Nov 08 2024 |
| R-4.5-linux | NOTE | Nov 08 2024 |
| R-4.4-win | NOTE | Nov 08 2024 |
| R-4.4-mac | NOTE | Nov 08 2024 |
| R-4.3-win | NOTE | Nov 08 2024 |
| R-4.3-mac | NOTE | Nov 08 2024 |
Exports:crossnmacrossnma.modelleague
Dependencies:abindbitbit64bootclicliprcodacolorspaceCompQuadFormcpp11crayondplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametadatmetaformgcvminqamunsellnetmetanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenreadrrjagsrlangscalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2
