Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
Version: 0.8.1 Depends: R (≥ 3.4.0) Imports: methods, stats, graphics, survival, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.0.0), Rdpack (≥ 0.7), tibble (≥ 2.1.3), dplyr (≥ 1.0.0), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr (≥ 1.0.0), stringr, Matrix, igraph, ggraph, ggplot2 (≥ 3.3.0), ggdist (≥ 2.1.1), truncdist, bayesplot LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.32.9) Suggests: testthat (≥ 2.1.0), vdiffr, withr, knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (≥ 2.0.0), crayon, tidygraph, pkgdown, splines2 (≥ 0.5.0), flexsurv, rstpm2 Published: 2025-05-31 DOI: 10.32614/CRAN.package.multinma Author: David M. Phillippo [aut, cre], Samuel J. Perren [ctb] Maintainer: David M. Phillippo <david.phillippo at bristol.ac.uk> BugReports: https://github.com/dmphillippo/multinma/issues License: GPL-3 URL: https://dmphillippo.github.io/multinma/, https://github.com/dmphillippo/multinma NeedsCompilation: yes SystemRequirements: GNU make Citation: multinma citation info Materials: README NEWS In views: MetaAnalysis CRAN checks: multinma results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=multinma to link to this page.
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