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).

Maintainer: Sebastian Weber <sebastian.weber at novartis.com>

Author(s): Novartis Pharma AG*, Sebastian Weber*, Beat Neuenschwander*, Heinz Schmidli*, Baldur Magnusson*, Yue Li*, Satrajit Roychoudhury*

Install package and any missing dependencies by running this line in your R console:

install.packages("RBesT")

Depends R (>= 3.2.0), Rcpp(>=0.12.0), methods
Imports assertthat, mvtnorm, Formula, checkmate, rstan(>=2.16.1), bayesplot(>=1.3.0), ggplot2, dplyr, stats, utils, lme4
Suggests rmarkdown, knitr, testthat(>=0.11.0), foreach, tidyverse, rstanarm(>=2.15.3)
Enhances
Linking to StanHeaders(>=2.16.0), rstan(>=2.16.1), BH(>=1.62.0), Rcpp(>=0.12.0), RcppEigen
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Package RBesT
Materials
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Version 1.2-3
Published 2017-08-21
License GPL (>= 3) | file LICENSE
BugReports
SystemRequirements pandoc
NeedsCompilation yes
Citation
CRAN checks RBesT check results
Package source RBesT_1.2-3.tar.gz