RBesT-package: R Bayesian Evidence Synthesis Tools

In RBesT: R Bayesian Evidence Synthesis Tools

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)

Version History

See NEWS.md file.

Author(s)

Maintainer: Sebastian Weber [e-mail]

Other contributors:

• Novartis Pharma AG [copyright holder]

• Beat Neuenschwander [e-mail] [contributor]

• Heinz Schmidli [e-mail] [contributor]

• Baldur Magnusson [e-mail] [contributor]

• Yue Li [e-mail] [contributor]

• Satrajit Roychoudhury [e-mail] [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:

• https://opensource.nibr.com/RBesT/

• Report bugs at https://github.com/Novartis/RBesT/issues

RBesT documentation built on May 29, 2024, 10:40 a.m.