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.

Version: 1.7-3
Depends: R (≥ 3.5.0)
Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.3.1), assertthat, mvtnorm, Formula, checkmate, bayesplot (≥ 1.4.0), ggplot2, dplyr, stats, utils, matrixStats, abind, rlang
LinkingTo: BH (≥ 1.72.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: rmarkdown, knitr, testthat (≥ 2.0.0), foreach, purrr, rstanarm (≥ 2.17.2), scales, tools, broom, tidyr, parallel, brms, glue, ragg
Published: 2024-01-08
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], 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: MetaAnalysis
CRAN checks: RBesT results


Reference manual: RBesT.pdf
Vignettes: Getting started with RBesT (binary)


Package source: RBesT_1.7-3.tar.gz
Windows binaries: r-devel: RBesT_1.7-3.zip, r-release: RBesT_1.7-3.zip, r-oldrel: RBesT_1.7-3.zip
macOS binaries: r-release (arm64): RBesT_1.7-3.tgz, r-oldrel (arm64): RBesT_1.7-3.tgz, r-release (x86_64): RBesT_1.7-3.tgz, r-oldrel (x86_64): RBesT_1.7-3.tgz
Old sources: RBesT archive

Reverse dependencies:

Reverse depends: SAMprior
Reverse imports: BayesianMCPMod, NCC, tipmap
Reverse suggests: DoseFinding


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