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).

Version: 1.2-2
Depends: R (≥ 3.2.0), Rcpp (≥ 0.12.0), methods
Imports: assertthat, mvtnorm, Formula, checkmate, rstan (≥ 2.16.1), bayesplot, ggplot2, dplyr, stats, utils, lme4
LinkingTo: StanHeaders (≥ 2.16.0), rstan (≥ 2.16.1), BH (≥ 1.62.0), Rcpp (≥ 0.12.0), RcppEigen
Suggests: rmarkdown, knitr, testthat (≥ 0.11.0), foreach, tidyverse, rstanarm (≥ 2.15.3)
Published: 2017-07-12
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb]
Maintainer: Sebastian Weber <sebastian.weber at novartis.com>
License: GPL (≥ 3) | file LICENSE
NeedsCompilation: yes
SystemRequirements: pandoc
Materials: NEWS
CRAN checks: RBesT results

Downloads:

Reference manual: RBesT.pdf
Vignettes: Customizing RBesT plots
Getting started with RBesT (binary)
RBest for a Normal Endpoint
Using RBesT to reproduce Schmidli et. al "Robust MAP Priors"
Package source: RBesT_1.2-2.tar.gz
Windows binaries: r-devel: RBesT_1.2-2.zip, r-release: RBesT_1.2-2.zip, r-oldrel: RBesT_1.2-2.zip
OS X El Capitan binaries: r-release: RBesT_1.2-2.tgz
OS X Mavericks binaries: r-oldrel: RBesT_1.2-2.tgz

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