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 Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> for details on the methodology.
| Version: | 1.6-1 |
| Depends: | R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods |
| Imports: | assertthat, mvtnorm, Formula, checkmate, rstan (≥ 2.19.2), bayesplot (≥ 1.4.0), ggplot2, dplyr, stats, utils |
| LinkingTo: | StanHeaders (≥ 2.19.0), rstan (≥ 2.19.2), BH (≥ 1.69.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0) |
| Suggests: | rmarkdown, knitr, testthat (≥ 2.0.0), foreach, purrr, rstanarm (≥ 2.17.2), scales, tools, broom, tidyr, rstantools (≥ 2.0.0), parallel |
| Published: | 2020-05-28 |
| 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 |
| Materials: | NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | RBesT results |
| Reference manual: | RBesT.pdf |
| Vignettes: |
Probability of Success with Co-Data (advanced) Probability of Success at an Interim Analysis Customizing RBesT plots Getting started with RBesT (binary) RBest for a Normal Endpoint Using RBesT to reproduce Schmidli et al. "Robust MAP Priors" Meta-Analytic-Predictive Priors for Variances |
| Package source: | RBesT_1.6-1.tar.gz |
| Windows binaries: | r-devel: RBesT_1.6-1.zip, r-release: RBesT_1.6-1.zip, r-oldrel: RBesT_1.6-1.zip |
| macOS binaries: | r-release: RBesT_1.6-1.tgz, r-oldrel: RBesT_1.6-1.tgz |
| Old sources: | RBesT archive |
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