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:	1.7-4
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
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
Published:	2024-11-21
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

Documentation:

Reference manual:	RBesT.pdf
Vignettes:	Getting started with RBesT (binary) (source, R code)

Downloads:

Package source:	RBesT_1.7-4.tar.gz
Windows binaries:	r-devel: RBesT_1.7-4.zip, r-release: RBesT_1.7-4.zip, r-oldrel: RBesT_1.7-4.zip
macOS binaries:	r-release (arm64): RBesT_1.7-4.tgz, r-oldrel (arm64): RBesT_1.7-4.tgz, r-release (x86_64): RBesT_1.7-4.tgz, r-oldrel (x86_64): RBesT_1.7-4.tgz
Old sources:	RBesT archive

Reverse dependencies:

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

Linking:

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