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).
| Version: | 1.3-3 |
| Depends: | R (≥ 3.2.0), Rcpp (≥ 0.12.0), methods |
| Imports: | assertthat, mvtnorm, Formula, checkmate, rstan (≥ 2.17.2), bayesplot (≥ 1.3.0), ggplot2, dplyr, stats, utils, lme4 |
| LinkingTo: | StanHeaders (≥ 2.17.0), rstan (≥ 2.17.2), BH (≥ 1.65.0), Rcpp (≥ 0.12.0), RcppEigen |
| Suggests: | rmarkdown, knitr, testthat (≥ 2.0.0), foreach, tidyverse, rstanarm (≥ 2.17.2) |
| Published: | 2018-02-02 |
| 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] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R) |
| Maintainer: | Sebastian Weber <sebastian.weber at novartis.com> |
| License: | GPL (≥ 3) | file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | pandoc |
| Materials: | NEWS |
| CRAN checks: | RBesT results |
| Reference manual: | RBesT.pdf |
| Vignettes: |
Customizing RBesT plots Getting started with RBesT (binary) RBest for a Normal Endpoint Using RBesT to reproduce Schmidli et. al "Robust MAP Priors" |
| Package source: | RBesT_1.3-3.tar.gz |
| Windows binaries: | r-devel: RBesT_1.3-3.zip, r-release: RBesT_1.3-3.zip, r-oldrel: RBesT_1.3-3.zip |
| OS X El Capitan binaries: | r-release: RBesT_1.3-3.tgz |
| OS X Mavericks binaries: | r-oldrel: RBesT_1.3-1.tgz |
| Old sources: | RBesT archive |
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