Package: crossnma 1.3.0
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_1.3.0.tar.gz
crossnma_1.3.0.tar.gz(r-4.5-noble)crossnma_1.3.0.tar.gz(r-4.4-noble)
crossnma_1.3.0.tgz(r-4.4-emscripten)crossnma_1.3.0.tgz(r-4.3-emscripten)
crossnma.pdf |crossnma.html✨
crossnma/json (API)
NEWS
# Install 'crossnma' in R: |
install.packages('crossnma', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/htx-r/crossnma/issues
Last updated 10 days agofrom:8355877ba0. Checks:OK: 1 WARNING: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-linux | WARNING | Nov 28 2024 |
Exports:crossnmacrossnma.modelleague
Dependencies:abindbitbit64bootclicliprcodacolorspaceCompQuadFormcpp11crayondplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametadatmetaformgcvminqamunsellnetmetanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenreadrrjagsrlangscalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2