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: |
1.6-4 |
Depends: |
R (≥ 3.4.0) |
Imports: |
methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥
2.19.3), rstantools (≥ 2.1.1), assertthat, mvtnorm, Formula, checkmate, bayesplot (≥ 1.4.0), ggplot2, dplyr, stats, utils, matrixStats |
LinkingTo: |
BH (≥ 1.72.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.19.3), StanHeaders (≥
2.19.0) |
Suggests: |
rmarkdown, knitr, testthat (≥ 2.0.0), foreach, purrr, rstanarm (≥ 2.17.2), scales, tools, broom, tidyr, parallel |
Published: |
2022-08-08 |
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> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make, pandoc (>= 1.12.3), pandoc-citeproc |
Citation: |
RBesT citation info |
Materials: |
NEWS |
In views: |
MetaAnalysis |
CRAN checks: |
RBesT results |