RBesT-package: R Bayesian Evidence Synthesis Tools
In RBesT: R Bayesian Evidence Synthesis Tools
RBesT-package R Documentation
R Bayesian Evidence Synthesis Tools
Description
The RBesT tools are designed to support in the derivation of
parametric informative priors, asses design characeristics and
perform analyses. Supported endpoints include normal, binary and
Poisson.
Details
For introductory material, please refer to the vignettes which include
Introduction (binary)
Introduction (normal)
Customizing RBesT Plots
Robust MAP, advanced usage
The main function of the package is gMAP(). See it's
help page for a detailed description of the statistical model.
Global Options
Option Default Description
RBesT.MC.warmup 2000 MCMC warmup iterations
RBesT.MC.iter 6000 total MCMC iterations
RBesT.MC.chains 4 MCMC chains
RBesT.MC.thin 4 MCMC thinning
RBesT.MC.control list(adapt_delta=0.99, sets control argument for Stan call
stepsize=0.01,
max_treedepth=20)
RBesT.MC.ncp 1 parametrization: 0=CP, 1=NCP, 2=Automatic
RBesT.MC.init 1 range of initial uniform [-1,1] is the default
RBesT.MC.rescale TRUE Automatic rescaling of raw parameters
RBesT.verbose FALSE requests outputs to be more verbose
RBesT.integrate_args list(lower=-Inf, arguments passed to integrate for
upper=Inf, intergation of densities
rel.tol=.Machine$double.eps^0.25,
abs.tol=.Machine$double.eps^0.25,
subdivisions=1E3)
RBesT.integrate_prob_eps 1E-6 probability mass left out from tails if integration needs to be restricted in range
Version History
See NEWS.md file.
Author(s)
Maintainer: Sebastian Weber sebastian.weber@novartis.com
Other contributors:
Novartis Pharma AG [copyright holder]
Beat Neuenschwander beat.neuenschwander@novartis.com [contributor]
Heinz Schmidli heinz.schmidli@novartis.com [contributor]
Baldur Magnusson baldur.magnusson@novartis.com [contributor]
Yue Li yue-1.li@novartis.com [contributor]
Satrajit Roychoudhury satrajit.roychoudhury@novartis.com [contributor]
Lukas A. Widmer lukas_andreas.widmer@novartis.com (ORCID) [contributor]
Trustees of Columbia University (R/stanmodels.R, configure, configure.win) [copyright holder]
References
Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org
See Also
Useful links:
RBesT documentation built on June 8, 2025, 10:05 a.m.
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| RBesT-package | R Documentation |
R Bayesian Evidence Synthesis Tools
Description
The RBesT tools are designed to support in the derivation of parametric informative priors, asses design characeristics and perform analyses. Supported endpoints include normal, binary and Poisson.
Details
For introductory material, please refer to the vignettes which include
Introduction (binary)
Introduction (normal)
Customizing RBesT Plots
Robust MAP, advanced usage
The main function of the package is gMAP(). See it's
help page for a detailed description of the statistical model.
Global Options
| Option | Default | Description |
RBesT.MC.warmup | 2000 | MCMC warmup iterations |
RBesT.MC.iter | 6000 | total MCMC iterations |
RBesT.MC.chains | 4 | MCMC chains |
RBesT.MC.thin | 4 | MCMC thinning |
RBesT.MC.control | list(adapt_delta=0.99, | sets control argument for Stan call |
stepsize=0.01, | ||
max_treedepth=20) | ||
RBesT.MC.ncp | 1 | parametrization: 0=CP, 1=NCP, 2=Automatic |
RBesT.MC.init | 1 | range of initial uniform [-1,1] is the default |
RBesT.MC.rescale | TRUE | Automatic rescaling of raw parameters |
RBesT.verbose | FALSE | requests outputs to be more verbose |
RBesT.integrate_args | list(lower=-Inf, | arguments passed to integrate for |
upper=Inf, | intergation of densities | |
rel.tol=.Machine$double.eps^0.25, | ||
abs.tol=.Machine$double.eps^0.25, | ||
subdivisions=1E3) | ||
RBesT.integrate_prob_eps | 1E-6 | probability mass left out from tails if integration needs to be restricted in range |
Version History
See NEWS.md file.
Author(s)
Maintainer: Sebastian Weber sebastian.weber@novartis.com
Other contributors:
Novartis Pharma AG [copyright holder]
Beat Neuenschwander beat.neuenschwander@novartis.com [contributor]
Heinz Schmidli heinz.schmidli@novartis.com [contributor]
Baldur Magnusson baldur.magnusson@novartis.com [contributor]
Yue Li yue-1.li@novartis.com [contributor]
Satrajit Roychoudhury satrajit.roychoudhury@novartis.com [contributor]
Lukas A. Widmer lukas_andreas.widmer@novartis.com (ORCID) [contributor]
Trustees of Columbia University (R/stanmodels.R, configure, configure.win) [copyright holder]
References
Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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