RBesT: 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) <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.

Package details

AuthorNovartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win)
MaintainerSebastian Weber <sebastian.weber@novartis.com>
LicenseGPL (>= 3)
Version1.7-2
URL https://opensource.nibr.com/RBesT/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RBesT")

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RBesT documentation built on Aug. 22, 2023, 1:08 a.m.