Nothing
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) <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.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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@novartis.com> |
| License | GPL (>= 3) |
| Version | 1.7-3 |
| URL | https://opensource.nibr.com/RBesT/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the RBesT package in your browser
Any scripts or data that you put into this service are public.
