Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Version: 1.8-2 Depends: R (≥ 3.5.0) Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.32.0), rstantools (≥ 2.4.0), assertthat, mvtnorm, Formula, checkmate, bayesplot (≥ 1.4.0), ggplot2, dplyr, stats, utils, matrixStats, abind, rlang, jsonlite, lifecycle LinkingTo: BH (≥ 1.72.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.32.0), StanHeaders (≥ 2.32.0) Suggests: rmarkdown, knitr, testthat (≥ 2.0.0), foreach, purrr, rstanarm (≥ 2.17.2), scales, tools, broom, tidyr, parallel, brms, glue, ragg, withr Published: 2025-04-25 DOI: 10.32614/CRAN.package.RBesT Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win) Maintainer: Sebastian Weber <sebastian.weber at novartis.com> BugReports: https://github.com/Novartis/RBesT/issues License: GPL (≥ 3) URL: https://opensource.nibr.com/RBesT/ NeedsCompilation: yes SystemRequirements: GNU make, pandoc (>= 1.12.3), pngquant, C++17 Citation: RBesT citation info Materials: NEWS In views: ClinicalTrials, MetaAnalysis CRAN checks: RBesT results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=RBesT to link to this page.
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