R Bayesian Evidence Synthesis Tools

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) for details on applying this package while Neuenschwander et al. (2010) and Schmidli et al. (2014) explain details on the methodology.

Reference manual

install.packages("RBesT")

1.12-0 by Sebastian Weber, a month ago

https://opensource.nibr.com/RBesT/

Report a bug at https://github.com/Novartis/RBesT/issues

Browse source code at https://github.com/cran/RBesT

Authors: 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] , Daniel Sabanés Bové [ctb] (ORCID: , Trustees of Columbia University [cph] (R/stanmodels.R , configure , configure.win)

Documentation: PDF Manual

GPL (>= 3) license

Imports methods, Rcpp, RcppParallel, rstan, rstantools, posterior, assertthat, mvtnorm, Formula, checkmate, bayesplot, ggplot2, dplyr, stats, utils, matrixStats, statmod, abind, rlang, jsonlite, lifecycle, Rdpack