https://github.com/novartis/rbest

Tool-set to support Bayesian evidence synthesis in R
https://github.com/novartis/rbest

bayesian clinical historical-data meta-analysis

Last synced: 3 months ago
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Tool-set to support Bayesian evidence synthesis in R

• Host: GitHub
• URL: https://github.com/novartis/rbest
• Owner: Novartis
• License: gpl-3.0
• Created: 2023-01-31T19:21:03.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-13T13:20:49.000Z (5 months ago)
• Last Synced: 2025-07-14T03:38:35.869Z (3 months ago)
• Topics: bayesian, clinical, historical-data, meta-analysis
• Language: R
• Homepage: https://opensource.nibr.com/RBesT/
• Size: 15.8 MB
• Stars: 23
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 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)](https://doi.org/10.18637/jss.v100.i19)

for details on applying this package while [Neuenschwander et

al. (2010)](https://doi.org/10.1177/1740774509356002) and [Schmidli et

al. (2014)](https://doi.org/10.1111/biom.12242) explain details on the

methodology.

## Getting Started

To get a quick overview over the package functionality, please refer

to the introductory [vignettes](https://opensource.nibr.com/RBesT/articles/index.html). We recommend

starting with the [Getting started with `RBesT`

(binary)](https://opensource.nibr.com/RBesT/articles/introduction.html) vignette as a first read.