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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 (≥ 0.3.3.3.0), 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
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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RBesT to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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